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ORCIDScott Yih
Scott Wen-tau Yih – Wen-tau Yih – Wen-Tau Yih
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- affiliation: Meta AI
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2020 – today
- 2024
[c131]Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer:
Instruction-tuned Language Models are Better Knowledge Learners. ACL (1) 2024: 5421-5434- [c130]Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-Wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-Tau Yih, Hu Xu:
MoDE: CLIP Data Experts via Clustering. CVPR 2024: 26344-26353 - [c129]Mingda Chen, Xilun Chen, Wen-tau Yih:
Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering. EACL (1) 2024: 190-208 - [c128]Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-Wen Li, Saining Xie, Christoph Feichtenhofer:
Altogether: Image Captioning via Re-aligning Alt-text. EMNLP 2024: 19302-19318 - [c127]Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
RA-DIT: Retrieval-Augmented Dual Instruction Tuning. ICLR 2024 - [c126]Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis:
In-Context Pretraining: Language Modeling Beyond Document Boundaries. ICLR 2024 - [c125]Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih:
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. NAACL (Short Papers) 2024: 783-791 - [c124]Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
REPLUG: Retrieval-Augmented Black-Box Language Models. NAACL-HLT 2024: 8371-8384 - [c123]Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Scott Yih, Xin Dong:
CRAG - Comprehensive RAG Benchmark. NeurIPS 2024 - [i87]Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srinivasan Iyer:
Instruction-tuned Language Models are Better Knowledge Learners. CoRR abs/2402.12847 (2024) - [i86]Akari Asai, Zexuan Zhong, Danqi Chen, Pang Wei Koh, Luke Zettlemoyer, Hannaneh Hajishirzi, Wen-tau Yih:
Reliable, Adaptable, and Attributable Language Models with Retrieval. CoRR abs/2403.03187 (2024) - [i85]Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma, Hu Xu, Xi Victoria Lin, Baptiste Rozière, Jacob Kahn, Daniel Li, Wen-tau Yih, Jason Weston, Xian Li:
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. CoRR abs/2403.07816 (2024) - [i84]Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-Wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-Tau Yih, Hu Xu:
MoDE: CLIP Data Experts via Clustering. CoRR abs/2404.16030 (2024) - [i83]Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Wen-tau Yih, Xilun Chen:
FLAME: Factuality-Aware Alignment for Large Language Models. CoRR abs/2405.01525 (2024) - [i82]Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Wen-tau Yih, Xi Victoria Lin:
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution. CoRR abs/2405.19325 (2024) - [i81]Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Ethan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Wen-tau Yih, Xin Luna Dong:
CRAG - Comprehensive RAG Benchmark. CoRR abs/2406.04744 (2024) - [i80]Yejin Lee, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodriguez, Ram Pasunuru, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu:
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. CoRR abs/2410.00215 (2024) - [i79]Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-Wen Li, Saining Xie, Christoph Feichtenhofer:
Altogether: Image Captioning via Re-aligning Alt-text. CoRR abs/2410.17251 (2024) - [i78]Weixin Liang, Lili Yu, Liang Luo, Srinivasan Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin:
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models. CoRR abs/2411.04996 (2024) - [i77]Akari Asai, Jacqueline He, Rulin Shao, Weijia Shi, Amanpreet Singh, Joseph Chee Chang, Kyle Lo, Luca Soldaini, Sergey Feldman, Mike D'Arcy, David Wadden, Matt Latzke, Minyang Tian, Pan Ji, Shengyan Liu, Hao Tong, Bohao Wu, Yanyu Xiong, Luke Zettlemoyer, Graham Neubig, Daniel S. Weld, Doug Downey, Wen-tau Yih, Pang Wei Koh, Hannaneh Hajishirzi:
OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. CoRR abs/2411.14199 (2024) - [i76]Vincent-Pierre Berges, Barlas Oguz, Daniel Haziza, Wen-tau Yih, Luke Zettlemoyer, Gargi Ghosh:
Memory Layers at Scale. CoRR abs/2412.09764 (2024) - [i75]Mingda Chen, Yang Li, Karthik Padthe, Rulin Shao, Alicia Sun, Luke Zettlemoyer, Gargi Gosh, Wen-tau Yih:
Improving Factuality with Explicit Working Memory. CoRR abs/2412.18069 (2024) - 2023
- [c122]Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. ACL (Findings) 2023: 1102-1121 - [c121]Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer:
Nonparametric Masked Language Modeling. ACL (Findings) 2023: 2097-2118 - [c120]Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao
:
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing. ACL (1) 2023: 3149-3170 - [c119]Akari Asai, Timo Schick, Patrick S. H. Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih:
Task-aware Retrieval with Instructions. ACL (Findings) 2023: 3650-3675 - [c118]Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez, Richard James, Xi Victoria Lin, Alon Y. Halevy, Wen-tau Yih:
Reimagining Retrieval Augmented Language Models for Answering Queries. ACL (Findings) 2023: 6131-6146 - [c117]Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen:
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. ACL (1) 2023: 11891-11907 - [c116]Yung-Sung Chuang, Wei Fang, Shang-Wen Li, Wen-tau Yih, James R. Glass:
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering. ACL (Findings) 2023: 12131-12147 - [c115]Wenhan Xiong, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, Scott Yih:
Adapting Pretrained Text-to-Text Models for Long Text Sequences. EMNLP (Findings) 2023: 5566-5578 - [c114]Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen:
How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. EMNLP (Findings) 2023: 6385-6400 - [c113]Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer:
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. EMNLP (Findings) 2023: 7055-7067 - [c112]Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. EMNLP 2023: 12076-12100 - [c111]Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis:
InCoder: A Generative Model for Code Infilling and Synthesis. ICLR 2023 - [c110]Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-Tau Yih, Daniel Fried, Sida I. Wang, Tao Yu:
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. ICML 2023: 18319-18345 - [c109]Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida I. Wang, Xi Victoria Lin:
LEVER: Learning to Verify Language-to-Code Generation with Execution. ICML 2023: 26106-26128 - [c108]Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih:
Retrieval-Augmented Multimodal Language Modeling. ICML 2023: 39755-39769 - [c107]Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang:
Coder Reviewer Reranking for Code Generation. ICML 2023: 41832-41846 - [i74]Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
REPLUG: Retrieval-Augmented Black-Box Language Models. CoRR abs/2301.12652 (2023) - [i73]Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen:
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval. CoRR abs/2302.07452 (2023) - [i72]Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin:
LEVER: Learning to Verify Language-to-Code Generation with Execution. CoRR abs/2302.08468 (2023) - [i71]Xilun Chen, Lili Yu, Wenhan Xiong, Barlas Oguz, Yashar Mehdad, Wen-tau Yih:
VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation. CoRR abs/2305.03204 (2023) - [i70]Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz, Wen-tau Yih, Jason Weston, Jürgen Schmidhuber, Xian Li:
Large Language Model Programs. CoRR abs/2305.05364 (2023) - [i69]Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao:
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing. CoRR abs/2305.08195 (2023) - [i68]Mingda Chen, Xilun Chen, Wen-tau Yih:
Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis. CoRR abs/2305.13691 (2023) - [i67]Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. CoRR abs/2305.14251 (2023) - [i66]Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Scott Wen-tau Yih:
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. CoRR abs/2305.14739 (2023) - [i65]Yung-Sung Chuang, Wei Fang, Shang-Wen Li, Wen-tau Yih, James R. Glass:
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering. CoRR abs/2305.17080 (2023) - [i64]Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez, Richard James, Xi Victoria Lin, Alon Y. Halevy, Scott Yih:
Reimagining Retrieval Augmented Language Models for Answering Queries. CoRR abs/2306.01061 (2023) - [i63]Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih:
RA-DIT: Retrieval-Augmented Dual Instruction Tuning. CoRR abs/2310.01352 (2023) - [i62]Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis:
In-Context Pretraining: Language Modeling Beyond Document Boundaries. CoRR abs/2310.10638 (2023) - 2022
- [c106]Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih:
On Continual Model Refinement in Out-of-Distribution Data Streams. ACL (1) 2022: 3128-3139 - [c105]Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa:
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. ACL (1) 2022: 6253-6264 - [c104]Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih:
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? EMNLP (Findings) 2022: 250-262 - [c103]Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer:
Improving Passage Retrieval with Zero-Shot Question Generation. EMNLP 2022: 3781-3797 - [c102]Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad:
Domain-matched Pre-training Tasks for Dense Retrieval. NAACL-HLT (Findings) 2022: 1524-1534 - [c101]Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih:
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. NAACL-HLT (Findings) 2022: 1535-1546 - [c100]Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Scott Yih, Yashar Mehdad:
Simple Local Attentions Remain Competitive for Long-Context Tasks. NAACL-HLT 2022: 1975-1986 - [c99]Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Scott Yih, Sonal Gupta, Xilun Chen:
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. NAACL-HLT (Findings) 2022: 2402-2420 - [c98]Patrick S. H. Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel:
Boosted Dense Retriever. NAACL-HLT 2022: 3102-3117 - [c97]Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Scott Yih, Yoon Kim, James R. Glass:
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. NAACL-HLT 2022: 4207-4218 - [c96]Michele Bevilacqua, Giuseppe Ottaviano, Patrick S. H. Lewis, Scott Yih, Sebastian Riedel, Fabio Petroni:
Autoregressive Search Engines: Generating Substrings as Document Identifiers. NeurIPS 2022 - [c95]Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad:
BiT: Robustly Binarized Multi-distilled Transformer. NeurIPS 2022 - [c94]Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad:
QUASER: Question Answering with Scalable Extractive Rationalization. SIGIR 2022: 1208-1218 - [i61]Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen-tau Yih, Luke Zettlemoyer, Mike Lewis:
InCoder: A Generative Model for Code Infilling and Synthesis. CoRR abs/2204.05999 (2022) - [i60]Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer:
Improving Passage Retrieval with Zero-Shot Question Generation. CoRR abs/2204.07496 (2022) - [i59]Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Wen-tau Yih, Yoon Kim, James R. Glass:
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. CoRR abs/2204.10298 (2022) - [i58]Michele Bevilacqua, Giuseppe Ottaviano, Patrick S. H. Lewis, Wen-tau Yih, Sebastian Riedel, Fabio Petroni:
Autoregressive Search Engines: Generating Substrings as Document Identifiers. CoRR abs/2204.10628 (2022) - [i57]Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Wen-tau Yih:
On Continual Model Refinement in Out-of-Distribution Data Streams. CoRR abs/2205.02014 (2022) - [i56]Chi-Liang Liu, Hung-yi Lee, Wen-tau Yih:
Structured Prompt Tuning. CoRR abs/2205.12309 (2022) - [i55]Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad:
BiT: Robustly Binarized Multi-distilled Transformer. CoRR abs/2205.13016 (2022) - [i54]Wenhan Xiong, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, Wen-tau Yih:
Adapting Pretrained Text-to-Text Models for Long Text Sequences. CoRR abs/2209.10052 (2022) - [i53]Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer:
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. CoRR abs/2210.14353 (2022) - [i52]Akari Asai, Timo Schick, Patrick S. H. Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih:
Task-aware Retrieval with Instructions. CoRR abs/2211.09260 (2022) - [i51]Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen:
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. CoRR abs/2211.10411 (2022) - [i50]Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Scott Wen-tau Yih, Daniel Fried, Sida I. Wang, Tao Yu:
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. CoRR abs/2211.11501 (2022) - [i49]Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Rich James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
Retrieval-Augmented Multimodal Language Modeling. CoRR abs/2211.12561 (2022) - [i48]Tianyi Zhang, Tao Yu, Tatsunori B. Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida I. Wang:
Coder Reviewer Reranking for Code Generation. CoRR abs/2211.16490 (2022) - [i47]Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer:
Nonparametric Masked Language Modeling. CoRR abs/2212.01349 (2022) - [i46]Asish Ghoshal, Arash Einolghozati, Ankit Arun, Haoran Li, Lili Yu, Yashar Mehdad, Scott Wen-tau Yih, Asli Celikyilmaz:
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences. CoRR abs/2212.09726 (2022) - [i45]Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. CoRR abs/2212.09741 (2022) - 2021
- [c93]Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh:
Multi-Task Retrieval for Knowledge-Intensive Tasks. ACL/IJCNLP (1) 2021: 1098-1111 - [c92]Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih:
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. ACL/IJCNLP (1) 2021: 6618-6633 - [c91]Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel:
Joint Verification and Reranking for Open Fact Checking Over Tables. ACL/IJCNLP (1) 2021: 6787-6799 - [c90]Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Scott Yih, Yashar Mehdad, Srini Iyer:
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. EMNLP (1) 2021: 3712-3727 - [c89]Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
On the Influence of Masking Policies in Intermediate Pre-training. EMNLP (1) 2021: 7190-7202 - [c88]Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. ICLR 2021 - [c87]Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih:
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. NAACL-HLT 2021: 1280-1287 - [c86]Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa:
On Unifying Misinformation Detection. NAACL-HLT 2021: 5479-5485 - [e7]Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021. Association for Computational Linguistics 2021 [contents] - [e6]Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih:
Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021. Association for Computational Linguistics 2021 [contents] - [i44]Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh:
Multi-task Retrieval for Knowledge-Intensive Tasks. CoRR abs/2101.00117 (2021) - [i43]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i42]Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa:
On Unifying Misinformation Detection. CoRR abs/2104.05243 (2021) - [i41]Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
On the Influence of Masking Policies in Intermediate Pre-training. CoRR abs/2104.08840 (2021) - [i40]Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih:
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. CoRR abs/2106.00872 (2021) - [i39]Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad:
Domain-matched Pre-training Tasks for Dense Retrieval. CoRR abs/2107.13602 (2021) - [i38]Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih:
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? CoRR abs/2110.06918 (2021) - [i37]Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Wen-tau Yih, Madian Khabsa:
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. CoRR abs/2110.07577 (2021) - [i36]Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Wen-tau Yih, Sonal Gupta, Xilun Chen:
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. CoRR abs/2110.07731 (2021) - [i35]Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Wen-tau Yih, Yashar Mehdad:
Simple Local Attentions Remain Competitive for Long-Context Tasks. CoRR abs/2112.07210 (2021) - [i34]Patrick S. H. Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Wen-tau Yih, Sebastian Riedel:
Boosted Dense Retriever. CoRR abs/2112.07771 (2021) - [i33]Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick S. H. Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel:
The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. CoRR abs/2112.09924 (2021) - 2020
- [c85]Danqi Chen, Wen-tau Yih:
Open-Domain Question Answering. ACL (tutorial) 2020: 34-37 - [c84]Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel:
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. ACL 2020: 8413-8426 - [c83]Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang:
Blockwise Self-Attention for Long Document Understanding. EMNLP (Findings) 2020: 2555-2565 - [c82]Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih:
Efficient One-Pass End-to-End Entity Linking for Questions. EMNLP (1) 2020: 6433-6441 - [c81]Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick S. H. Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih:
Dense Passage Retrieval for Open-Domain Question Answering. EMNLP (1) 2020: 6769-6781 - [c80]Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su:
An Imitation Game for Learning Semantic Parsers from User Interaction. EMNLP (1) 2020: 6883-6902 - [c79]Ethan Perez, Patrick S. H. Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela:
Unsupervised Question Decomposition for Question Answering. EMNLP (1) 2020: 8864-8880 - [c78]Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi:
Abductive Commonsense Reasoning. ICLR 2020 - [c77]Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela:
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS 2020 - [c76]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [i32]Ethan Perez, Patrick S. H. Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela:
Unsupervised Question Decomposition for Question Answering. CoRR abs/2002.09758 (2020) - [i31]Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih:
Dense Passage Retrieval for Open-Domain Question Answering. CoRR abs/2004.04906 (2020) - [i30]Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su:
An Imitation Game for Learning Semantic Parsers from User Interaction. CoRR abs/2005.00689 (2020) - [i29]Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel:
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. CoRR abs/2005.08314 (2020) - [i28]Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela:
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. CoRR abs/2005.11401 (2020) - [i27]Nayeon Lee, Belinda Z. Li, Sinong Wang, Wen-tau Yih, Hao Ma, Madian Khabsa:
Language Models as Fact Checkers? CoRR abs/2006.04102 (2020) - [i26]Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. CoRR abs/2009.12756 (2020) - [i25]Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih:
Efficient One-Pass End-to-End Entity Linking for Questions. CoRR abs/2010.02413 (2020) - [i24]Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih:
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. CoRR abs/2010.10757 (2020) - [i23]Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih:
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge. CoRR abs/2012.14610 (2020) - [i22]Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel:
Joint Verification and Reranking for Open Fact Checking Over Tables. CoRR abs/2012.15115 (2020) - [i21]Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Wen-tau Yih, Yashar Mehdad, Srinivasan Iyer:
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. CoRR abs/2012.15482 (2020) - [i20]Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
Studying Strategically: Learning to Mask for Closed-book QA. CoRR abs/2012.15856 (2020)
2010 – 2019
- 2019
- [c75]Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal:
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. AAAI 2019: 7063-7071 - [c74]Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark:
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. EMNLP/IJCNLP (1) 2019: 4495-4504 - [c73]Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih:
Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study. EMNLP/IJCNLP (1) 2019: 5446-5457 - [c72]Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih:
FlowQA: Grasping Flow in History for Conversational Machine Comprehension. ICLR (Poster) 2019 - [c71]Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie:
Be Consistent! Improving Procedural Text Comprehension using Label Consistency. NAACL-HLT (1) 2019: 2347-2356 - [i19]Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie:
Be Consistent! Improving Procedural Text Comprehension using Label Consistency. CoRR abs/1906.08942 (2019) - [i18]Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi:
Abductive Commonsense Reasoning. CoRR abs/1908.05739 (2019) - [i17]Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark:
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. CoRR abs/1909.04745 (2019) - [i16]Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih:
Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study. CoRR abs/1910.05389 (2019) - [i15]Jiezhong Qiu, Hao Ma, Omer Levy, Scott Wen-tau Yih, Sinong Wang, Jie Tang:
Blockwise Self-Attention for Long Document Understanding. CoRR abs/1911.02972 (2019) - 2018
- [c70]Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley:
A Knowledge-Grounded Neural Conversation Model. AAAI 2018: 5110-5117 - [c69]Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark:
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. EMNLP 2018: 57-66 - [c68]Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih:
Dissecting Contextual Word Embeddings: Architecture and Representation. EMNLP 2018: 1499-1509 - [c67]Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC: Question Answering in Context. EMNLP 2018: 2174-2184 - [c66]Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih:
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. EMNLP 2018: 2442-2452 - [c65]Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He:
Natural Language to Structured Query Generation via Meta-Learning. NAACL-HLT (2) 2018: 732-738 - [c64]Bhavana Dalvi, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark:
Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension. NAACL-HLT 2018: 1595-1604 - [i14]Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He:
Natural Language to Structured Query Generation via Meta-Learning. CoRR abs/1803.02400 (2018) - [i13]Bhavana Dalvi Mishra, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark:
Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension. CoRR abs/1805.06975 (2018) - [i12]Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC : Question Answering in Context. CoRR abs/1808.07036 (2018) - [i11]Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih:
Dissecting Contextual Word Embeddings: Architecture and Representation. CoRR abs/1808.08949 (2018) - [i10]Niket Tandon, Bhavana Dalvi Mishra, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark:
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. CoRR abs/1808.10012 (2018) - [i9]Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih:
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. CoRR abs/1809.01299 (2018) - [i8]Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih:
FlowQA: Grasping Flow in History for Conversational Machine Comprehension. CoRR abs/1810.06683 (2018) - [i7]Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal:
QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships. CoRR abs/1811.08048 (2018) - 2017
- [j3]Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih:
Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Trans. Assoc. Comput. Linguistics 5: 101-115 (2017) - [c63]Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih:
NLP for Precision Medicine. ACL (Tutorial Abstracts) 2017: 1-2 - [c62]Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang:
Search-based Neural Structured Learning for Sequential Question Answering. ACL (1) 2017: 1821-1831 - [c61]Haoruo Peng, Ming-Wei Chang, Wen-tau Yih:
Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision. EMNLP 2017: 2368-2378 - [e5]Phil Blunsom, Antoine Bordes, Kyunghyun Cho, Shay B. Cohen, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Yih:
Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-62-3 [contents] - [i6]Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley:
A Knowledge-Grounded Neural Conversation Model. CoRR abs/1702.01932 (2017) - [i5]Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih:
Cross-Sentence N-ary Relation Extraction with Graph LSTMs. CoRR abs/1708.03743 (2017) - 2016
- [c60]Kristina Toutanova, Xi Victoria Lin, Wen-tau Yih, Hoifung Poon, Chris Quirk:
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text. ACL (1) 2016 - [c59]Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh:
The Value of Semantic Parse Labeling for Knowledge Base Question Answering. ACL (2) 2016 - [c58]Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih:
Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. EMNLP 2016: 297-306 - [c57]Wen-tau Yih, Hao Ma:
Question Answering with Knowledge Base, Web and Beyond. HLT-NAACL Tutorials 2016: 8-10 - [c56]Nasrin Mostafazadeh, Lucy Vanderwende, Wen-tau Yih, Pushmeet Kohli, James F. Allen:
Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next. RepEval@ACL 2016: 24-29 - [c55]Wen-tau Yih, Hao Ma:
Question Answering with Knowledge Base, Web and Beyond. SIGIR 2016: 1219-1221 - [c54]Huan Sun, Hao Ma, Xiaodong He, Wen-tau Yih, Yu Su, Xifeng Yan:
Table Cell Search for Question Answering. WWW 2016: 771-782 - [c53]Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng, Paul Smolensky:
Reasoning in Vector Space: An Exploratory Study of Question Answering. ICLR (Poster) 2016 - [e4]Phil Blunsom, Kyunghyun Cho, Shay B. Cohen, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Wen-tau Yih:
Proceedings of the 1st Workshop on Representation Learning for NLP, Rep4NLP@ACL 2016, Berlin, Germany, August 11, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-04-3 [contents] - [i4]Paul Smolensky, Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng:
Basic Reasoning with Tensor Product Representations. CoRR abs/1601.02745 (2016) - [i3]Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang:
Answering Complicated Question Intents Expressed in Decomposed Question Sequences. CoRR abs/1611.01242 (2016) - 2015
- [c52]Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao:
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. ACL (1) 2015: 1321-1331 - [c51]Alexandre Allauzen, Edward Grefenstette, Karl Moritz Hermann, Hugo Larochelle, Scott Wen-tau Yih:
Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality. CVSC 2015 - [c50]Yi Yang, Wen-tau Yih, Christopher Meek:
WikiQA: A Challenge Dataset for Open-Domain Question Answering. EMNLP 2015: 2013-2018 - [c49]Wen-tau Yih, Xiaodong He, Jianfeng Gao:
Deep Learning and Continuous Representations for Natural Language Processing. HLT-NAACL 2015: 6-8 - [c48]Ryen W. White, Matthew Richardson, Wen-tau Yih:
Questions vs. Queries in Informational Search Tasks. WWW (Companion Volume) 2015: 135-136 - [c47]Huan Sun, Hao Ma, Wen-tau Yih, Chen-Tse Tsai, Jingjing Liu, Ming-Wei Chang:
Open Domain Question Answering via Semantic Enrichment. WWW 2015: 1045-1055 - [c46]Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng:
Embedding Entities and Relations for Learning and Inference in Knowledge Bases. ICLR (Poster) 2015 - [e3]Alexandre Allauzen, Edward Grefenstette, Karl Moritz Hermann, Hugo Larochelle, Scott Wen-tau Yih:
Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality, CVSC 2015, Beijing, China, July 26-31, 2015. Association for Computational Linguistics 2015 [contents] - 2014
- [c45]Wen-tau Yih, Xiaodong He, Christopher Meek:
Semantic Parsing for Single-Relation Question Answering. ACL (2) 2014: 643-648 - [c44]Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng:
Learning Continuous Phrase Representations for Translation Modeling. ACL (1) 2014: 699-709 - [c43]Kai-Wei Chang, Wen-tau Yih, Bishan Yang, Christopher Meek:
Typed Tensor Decomposition of Knowledge Bases for Relation Extraction. EMNLP 2014: 1568-1579 - [c42]Zhaohan Daniel Guo, Gökhan Tür, Wen-tau Yih, Geoffrey Zweig:
Joint semantic utterance classification and slot filling with recursive neural networks. SLT 2014: 554-559 - [e2]Alexandre Allauzen, Raffaella Bernardi, Edward Grefenstette, Hugo Larochelle, Christopher D. Manning, Scott Wen-tau Yih:
Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality, CVSC@EACL 2014, Gothenburg, Sweden, April 26-30, 2014. Association for Computational Linguistics 2014, ISBN 978-1-937284-94-7 [contents] - [e1]Roser Morante, Wen-tau Yih:
Proceedings of the Eighteenth Conference on Computational Natural Language Learning, CoNLL 2014, Baltimore, Maryland, USA, June 26-27, 2014. ACL 2014, ISBN 978-1-941643-02-0 [contents] - [i2]Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng:
Learning Multi-Relational Semantics Using Neural-Embedding Models. CoRR abs/1411.4072 (2014) - 2013
- [j2]Ming-Wei Chang, Wen-tau Yih:
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction. Trans. Assoc. Comput. Linguistics 1: 207-218 (2013) - [c41]Wen-tau Yih, Ming-Wei Chang, Christopher Meek, Andrzej Pastusiak:
Question Answering Using Enhanced Lexical Semantic Models. ACL (1) 2013: 1744-1753 - [c40]Joshua L. Moore, Christopher J. C. Burges, Erin Renshaw, Wen-tau Yih:
Animacy Detection with Voting Models. EMNLP 2013: 55-60 - [c39]Kai-Wei Chang, Wen-tau Yih, Christopher Meek:
Multi-Relational Latent Semantic Analysis. EMNLP 2013: 1602-1612 - [c38]Tomás Mikolov, Wen-tau Yih, Geoffrey Zweig:
Linguistic Regularities in Continuous Space Word Representations. HLT-NAACL 2013: 746-751 - [c37]Alisa Zhila, Wen-tau Yih, Christopher Meek, Geoffrey Zweig, Tomás Mikolov:
Combining Heterogeneous Models for Measuring Relational Similarity. HLT-NAACL 2013: 1000-1009 - [i1]Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng:
Learning Semantic Representations for the Phrase Translation Model. CoRR abs/1312.0482 (2013) - 2012
- [c36]Wen-tau Yih, Geoffrey Zweig, John C. Platt:
Polarity Inducing Latent Semantic Analysis. EMNLP-CoNLL 2012: 1212-1222 - [c35]Chris Quirk, Pallavi Choudhury, Jianfeng Gao, Hisami Suzuki, Kristina Toutanova, Michael Gamon, Wen-tau Yih, Colin Cherry, Lucy Vanderwende:
MSR SPLAT, a language analysis toolkit. HLT-NAACL 2012: 21-24 - [c34]Wen-tau Yih, Vahed Qazvinian:
Measuring Word Relatedness Using Heterogeneous Vector Space Models. HLT-NAACL 2012: 616-620 - 2011
- [c33]Wen-tau Yih, Kristina Toutanova, John C. Platt, Christopher Meek:
Learning Discriminative Projections for Text Similarity Measures. CoNLL 2011: 247-256 - [c32]Rajhans Samdani, Wen-tau Yih:
Domain Adaptation with Ensemble of Feature Groups. IJCAI 2011: 1458-1464 - [c31]Jianfeng Gao, Kristina Toutanova, Wen-tau Yih:
Clickthrough-based latent semantic models for web search. SIGIR 2011: 675-684 - 2010
- [c30]John C. Platt, Kristina Toutanova, Wen-tau Yih:
Translingual Document Representations from Discriminative Projections. EMNLP 2010: 251-261 - [c29]Hannaneh Hajishirzi, Wen-tau Yih, Aleksander Kolcz:
Adaptive near-duplicate detection via similarity learning. SIGIR 2010: 419-426
2000 – 2009
- 2009
- [c28]Wen-tau Yih:
Learning Term-weighting Functions for Similarity Measures. EMNLP 2009: 793-802 - 2008
- [j1]Vasin Punyakanok, Dan Roth, Wen-tau Yih:
The Importance of Syntactic Parsing and Inference in Semantic Role Labeling. Comput. Linguistics 34(2): 257-287 (2008) - [c27]Wen-tau Yih, Christopher Meek:
Consistent phrase relevance measures. AdKDD@KDD 2008: 37-44 - [c26]Ming-Wei Chang, Scott Yih, Robert McCann:
Personalized Spam Filtering for Gray Mail. CEAS 2008 - [c25]Ming-Wei Chang, Wen-tau Yih, Christopher Meek:
Partitioned logistic regression for spam filtering. KDD 2008: 97-105 - 2007
- [c24]Wen-tau Yih, Christopher Meek:
Improving Similarity Measures for Short Segments of Text. AAAI 2007: 1489-1494 - [c23]Scott Yih, Robert McCann, Alek Kolcz:
Improve Spam Filtering by Detecting Gray Mail. CEAS 2007 - [c22]Wen-tau Yih, Joshua Goodman, Lucy Vanderwende, Hisami Suzuki:
Multi-Document Summarization by Maximizing Informative Content-Words. IJCAI 2007: 1776-1782 - [c21]Aleksander Kolcz, Wen-tau Yih:
Raising the baseline for high-precision text classifiers. KDD 2007: 400-409 - [c20]Aleksander Kolcz, Wen-tau Yih:
Site-Independent Template-Block Detection. PKDD 2007: 152-163 - 2006
- [c19]Robert C. Moore, Wen-tau Yih, Andreas Bode:
Improved Discriminative Bilingual Word Alignment. ACL 2006 - [c18]Joshua Goodman, Wen-tau Yih:
Online Discriminative Spam Filter Training. CEAS 2006 - [c17]Wen-tau Yih, Joshua Goodman, Geoff Hulten:
Learning at Low False Positive Rates. CEAS 2006 - [c16]Wen-tau Yih, Kristina Toutanova:
Automatic Semantic Role Labeling. HLT-NAACL 2006 - [c15]Wen-tau Yih, Joshua Goodman, Vitor R. Carvalho:
Finding advertising keywords on web pages. WWW 2006: 213-222 - 2005
- [b1]Wen-tau Yih:
Learning and Inference for Information Extraction. University of Illinois Urbana-Champaign, USA, 2005 - [c14]Peter Koomen, Vasin Punyakanok, Dan Roth, Wen-tau Yih:
Generalized Inference with Multiple Semantic Role Labeling Systems. CoNLL 2005: 181-184 - [c13]Dan Roth, Wen-tau Yih:
Integer linear programming inference for conditional random fields. ICML 2005: 736-743 - [c12]Vasin Punyakanok, Dan Roth, Wen-tau Yih:
The Necessity of Syntactic Parsing for Semantic Role Labeling. IJCAI 2005: 1117-1123 - [c11]Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak:
Learning and Inference over Constrained Output. IJCAI 2005: 1124-1129 - [c10]Vasin Punyakanok, Dan Roth, Mark Sammons, Wen-tau Yih:
Demonstrating an Interactive Semantic Role Labeling System. HLT/EMNLP 2005: 6-7 - 2004
- [c9]Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak:
Semantic Role Labeling Via Integer Linear Programming Inference. COLING 2004 - [c8]Dan Roth, Wen-tau Yih:
A Linear Programming Formulation for Global Inference in Natural Language Tasks. CoNLL 2004: 1-8 - [c7]Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak, Yuancheng Tu:
Semantic Role Labeling Via Generalized Inference Over Classifiers. CoNLL 2004: 130-133 - [c6]Wen-tau Yih, Po-Hao Chang, WooYoung Kim:
Mining Online Deal Forums for Hot Deals. Web Intelligence 2004: 384-390 - 2002
- [c5]Dan Roth, Wen-tau Yih:
Probabilistic Reasoning for Entity & Relation Recognition. COLING 2002 - [c4]Dan Roth, Chad M. Cumby, Xin Li, Paul Morie, Ramya Nagarajan, Nick Rizzolo, Kevin Small, Wen-tau Yih:
Question-Answering via Enhanced Understanding of Questions. TREC 2002 - 2001
- [c3]Dan Roth, Wen-tau Yih:
Relational Learning via Propositional Algorithms: An Information Extraction Case Study. IJCAI 2001: 1257-1263 - [c2]Dan Roth, Gio Kao Kao, Xin Li, Ramya Nagarajan, Vasin Punyakanok, Nick Rizzolo, Wen-tau Yih, Cecilia Ovesdotter Alm, Liam Gerard Moran:
Learning Components for A Question-Answering System. TREC 2001
1990 – 1999
- 1997
- [c1]Jane Yung-jen Hsu, Wen-tau Yih:
Template-Based Information Mining from HTML Documents. AAAI/IAAI 1997: 256-262
Coauthor Index
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