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2020 – today
- 2024
[c87]João Coelho, Bruno Martins, João Magalhães, Jamie Callan, Chenyan Xiong:
Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval. ACL (Short Papers) 2024: 370-377- [c86]Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu:
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. ACL (1) 2024: 14608-14624 - [c85]Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu:
Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion. LREC/COLING 2024: 7556-7561 - [c84]Liwen Sun, Abhineet Agarwal, Aaron Kornblith, Bin Yu, Chenyan Xiong:
ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance. ICML 2024 - [c83]Cheng Qian, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model. NAACL-HLT 2024: 831-854 - [c82]Qi Chen
, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang:
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) 2024: 292-301 - [e2]Harrie Oosterhuis, Hannah Bast, Chenyan Xiong:
Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2024, Washington, DC, USA, 13 July 2024. ACM 2024, ISBN 979-8-4007-0681-3 [contents] - [i79]Liwen Sun, Abhineet Agarwal, Aaron Kornblith, Bin Yu, Chenyan Xiong:
ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance. CoRR abs/2402.13448 (2024) - [i78]Zhipeng Xu, Zhenghao Liu, Yibin Liu, Chenyan Xiong, Yukun Yan, Shuo Wang, Shi Yu, Zhiyuan Liu, Ge Yu:
ActiveRAG: Revealing the Treasures of Knowledge via Active Learning. CoRR abs/2402.13547 (2024) - [i77]Zhipeng Xu, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Chenyan Xiong, Ge Yu:
Cleaner Pretraining Corpus Curation with Neural Web Scraping. CoRR abs/2402.14652 (2024) - [i76]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yukun Yan, Shuo Wang, Ge Yu:
Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression. CoRR abs/2402.16058 (2024) - [i75]João Coelho, Bruno Martins, João Magalhães, Jamie Callan, Chenyan Xiong:
Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval. CoRR abs/2404.04163 (2024) - [i74]Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang:
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR abs/2405.07526 (2024) - [i73]Zichun Yu, Spandan Das, Chenyan Xiong:
MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models. CoRR abs/2406.06046 (2024) - [i72]Hao Kang, Chenyan Xiong:
ResearchArena: Benchmarking LLMs' Ability to Collect and Organize Information as Research Agents. CoRR abs/2406.10291 (2024) - [i71]Cathy Jiao, Gary Gao, Chenyan Xiong:
In-Context Probing Approximates Influence Function for Data Valuation. CoRR abs/2407.12259 (2024) - [i70]Liwen Sun, James Zhao, Megan Han, Chenyan Xiong:
Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation. CoRR abs/2407.15268 (2024) - [i69]Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong:
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards. CoRR abs/2410.13509 (2024) - [i68]Junpeng Liu, Tianyue Ou, Yifan Song, Yuxiao Qu, Wai Lam, Chenyan Xiong, Wenhu Chen, Graham Neubig, Xiang Yue:
Harnessing Webpage UIs for Text-Rich Visual Understanding. CoRR abs/2410.13824 (2024) - [i67]Xiaochuan Li, Zichun Yu, Chenyan Xiong:
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning. CoRR abs/2410.14208 (2024) - [i66]Hao Kang, Tevin Wang, Chenyan Xiong:
Interpret and Control Dense Retrieval with Sparse Latent Features. CoRR abs/2411.00786 (2024) - [i65]Tevin Wang, Jingyuan He, Chenyan Xiong:
RAGViz: Diagnose and Visualize Retrieval-Augmented Generation. CoRR abs/2411.01751 (2024) - 2023
- [b1]Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell:
Neural Approaches to Conversational Information Retrieval. The Information Retrieval Series 44, Springer 2023, ISBN 978-3-031-23079-0, pp. 1-192 - [j5]Wenzheng Zhang, Chenyan Xiong, Karl Stratos, Arnold Overwijk:
Improving Multitask Retrieval by Promoting Task Specialization. Trans. Assoc. Comput. Linguistics 11: 1201-1212 (2023) - [c81]Zichun Yu, Chenyan Xiong, Shi Yu, Zhiyuan Liu:
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In. ACL (1) 2023: 2421-2436 - [c80]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu:
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. ACL (Findings) 2023: 11560-11574 - [c79]Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song:
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. ACL (1) 2023: 12933-12950 - [c78]Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu:
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CIKM 2023: 1534-1544 - [c77]Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett:
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. EMNLP 2023: 1796-1812 - [c76]Donghan Yu, Yu Gu, Chenyan Xiong, Yiming Yang:
CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering. EMNLP (Findings) 2023: 12748-12755 - [c75]Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu:
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval. ICLR 2023 - [c74]Yiqing Xie, Xiao Liu, Chenyan Xiong:
Unsupervised Dense Retrieval Training with Web Anchors. SIGIR 2023: 2476-2480 - [c73]Shi Yu, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit. SIGIR 2023: 3160-3164 - [i64]Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett:
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. CoRR abs/2302.03754 (2023) - [i63]Yiqing Xie, Xiao Liu, Chenyan Xiong:
Unsupervised Dense Retrieval Training with Web Anchors. CoRR abs/2305.05834 (2023) - [i62]Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song:
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. CoRR abs/2305.12567 (2023) - [i61]Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu:
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval. CoRR abs/2305.14685 (2023) - [i60]Zichun Yu, Chenyan Xiong, Shi Yu, Zhiyuan Liu:
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In. CoRR abs/2305.17331 (2023) - [i59]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu:
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. CoRR abs/2305.19912 (2023) - [i58]Wenzheng Zhang, Chenyan Xiong, Karl Stratos, Arnold Overwijk:
Improving Multitask Retrieval by Promoting Task Specialization. CoRR abs/2307.00342 (2023) - [i57]Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu:
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CoRR abs/2308.14029 (2023) - [i56]Cheng Qian, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model. CoRR abs/2310.05155 (2023) - [i55]Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu:
Unlock Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. CoRR abs/2310.14037 (2023) - [i54]Peixuan Han, Zhenghao Liu, Zhiyuan Liu, Chenyan Xiong:
Distributionally Robust Unsupervised Dense Retrieval Training on Web Graphs. CoRR abs/2310.16605 (2023) - [i53]Syeda Nahida Akter, Zichun Yu, Aashiq Muhamed, Tianyue Ou, Alex Bäuerle, Ángel Alexander Cabrera, Krish Dholakia, Chenyan Xiong, Graham Neubig:
An In-depth Look at Gemini's Language Abilities. CoRR abs/2312.11444 (2023) - 2022
- [c72]Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul Bennett:
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations. ACL (Findings) 2022: 4008-4020 - [c71]Yue Yu, Chenyan Xiong, Si Sun, Chao Zhang, Arnold Overwijk:
COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. EMNLP 2022: 1462-1479 - [c70]Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li:
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. EMNLP 2022: 5692-5698 - [c69]Si Sun, Chenyan Xiong, Yue Yu, Arnold Overwijk, Zhiyuan Liu, Jie Bao:
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives. EMNLP 2022: 6639-6654 - [c68]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song:
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. ICLR 2022 - [c67]Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu:
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. SIGIR 2022: 1956-1962 - [c66]Arnold Overwijk, Chenyan Xiong, Jamie Callan:
ClueWeb22: 10 Billion Web Documents with Rich Information. SIGIR 2022: 3360-3362 - [i52]Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell:
Neural Approaches to Conversational Information Retrieval. CoRR abs/2201.05176 (2022) - [i51]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. CoRR abs/2204.03243 (2022) - [i50]Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Di He, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao:
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. CoRR abs/2204.06644 (2022) - [i49]Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu:
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. CoRR abs/2205.01886 (2022) - [i48]Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li:
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. CoRR abs/2205.03284 (2022) - [i47]Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu:
Universal Multi-Modality Retrieval with One Unified Embedding Space. CoRR abs/2209.00179 (2022) - [i46]Yue Yu, Chenyan Xiong, Si Sun, Chao Zhang, Arnold Overwijk:
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. CoRR abs/2210.15212 (2022) - [i45]Si Sun, Chenyan Xiong, Yue Yu, Arnold Overwijk, Zhiyuan Liu, Jie Bao:
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives. CoRR abs/2210.17167 (2022) - [i44]Arnold Overwijk, Chenyan Xiong, Xiao Liu, Cameron VandenBerg, Jamie Callan:
ClueWeb22: 10 Billion Web Documents with Rich Information. CoRR abs/2211.15848 (2022) - 2021
- [c65]Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao:
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. AAAI 2021: 13666-13674 - [c64]Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett:
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision. ACL/IJCNLP (1) 2021: 5030-5043 - [c63]HongChien Yu, Chenyan Xiong, Jamie Callan:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback. CIKM 2021: 3592-3596 - [c62]Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan:
Contrastive Multi-document Question Generation. EACL 2021: 12-30 - [c61]Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Ann A. Copestake:
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. EMNLP (Findings) 2021: 1684-1690 - [c60]Shuqi Lu, Di He, Chenyan Xiong, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk:
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder. EMNLP (1) 2021: 2780-2791 - [c59]Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III:
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation. EMNLP (1) 2021: 9612-9622 - [c58]Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, Arnold Overwijk:
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. ICLR 2021 - [c57]Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
More Robust Dense Retrieval with Contrastive Dual Learning. ICTIR 2021: 287-296 - [c56]Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon:
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. KDD 2021: 3717-3725 - [c55]Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III:
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. NAACL-HLT 2021: 4635-4641 - [c54]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. NeurIPS 2021: 23102-23114 - [c53]Si Sun, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Jie Bao:
Capturing Global Informativeness in Open Domain Keyphrase Extraction. NLPCC (2) 2021: 275-287 - [c52]Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu:
Few-Shot Conversational Dense Retrieval. SIGIR 2021: 829-838 - [c51]Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu, Maosong Sun:
OpenMatch: An Open Source Library for Neu-IR Research. SIGIR 2021: 2531-2535 - [c50]Jeffrey Dalton, Chenyan Xiong, Jamie Callan:
TREC CAsT 2021: The Conversational Assistance Track Overview. TREC 2021 - [i43]Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu:
OpenMatch: An Open-Source Package for Information Retrieval. CoRR abs/2102.00166 (2021) - [i42]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. CoRR abs/2102.08473 (2021) - [i41]Shuqi Lu, Chenyan Xiong, Di He, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk:
Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder. CoRR abs/2102.09206 (2021) - [i40]Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao:
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. CoRR abs/2103.01863 (2021) - [i39]Chen Zhao, Chenyan Xiong, Xin Qian, Jordan L. Boyd-Graber:
Complex Factoid Question Answering with a Free-Text Knowledge Graph. CoRR abs/2103.12876 (2021) - [i38]Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III:
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. CoRR abs/2104.05883 (2021) - [i37]Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu:
Few-Shot Conversational Dense Retrieval. CoRR abs/2105.04166 (2021) - [i36]Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon:
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. CoRR abs/2106.13375 (2021) - [i35]Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
More Robust Dense Retrieval with Contrastive Dual Learning. CoRR abs/2107.07773 (2021) - [i34]HongChien Yu, Chenyan Xiong, Jamie Callan:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback. CoRR abs/2108.13454 (2021) - [i33]Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Ann A. Copestake:
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. CoRR abs/2109.04562 (2021) - [i32]Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III:
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation. CoRR abs/2110.04889 (2021) - [i31]Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul N. Bennett:
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations. CoRR abs/2110.07581 (2021) - 2020
- [j4]Tara Safavi, Edgar Meij, Fatma Özcan, Miriam Redi, Gianluca Demartini, Chenyan Xiong:
Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020. SIGIR Forum 54(2): 8:1-8:9 (2020) - [c49]Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig:
Latent Relation Language Models. AAAI 2020: 7911-7918 - [c48]Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs. ACL 2020: 2031-2043 - [c47]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Fine-grained Fact Verification with Kernel Graph Attention Network. ACL 2020: 7342-7351 - [c46]Zhenghao Liu, Chenyan Xiong, Zhuyun Dai, Si Sun, Maosong Sun, Zhiyuan Liu:
Generalizing Open Domain Fact Extraction and Verification to COVID-FACT thorough In-Domain Language Modeling. EMNLP (Findings) 2020: 2395-2400 - [c45]Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang:
Long Document Ranking with Query-Directed Sparse Transformer. EMNLP (Findings) 2020: 4594-4605 - [c44]Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. EMNLP (1) 2020: 9006-9017 - [c43]Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul N. Bennett, Saurabh Tiwary:
Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention. ICLR 2020 - [c42]Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang:
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. NeurIPS 2020 - [c41]Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen:
Knowledge Enhanced Personalized Search. SIGIR 2020: 709-718 - [c40]Chen Qu, Chenyan Xiong, Yizhe Zhang, Corby Rosset, W. Bruce Croft, Paul N. Bennett:
Contextual Re-Ranking with Behavior Aware Transformers. SIGIR 2020: 1589-1592 - [c39]Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu:
Few-Shot Generative Conversational Query Rewriting. SIGIR 2020: 1933-1936 - [c38]Jeffrey Dalton, Chenyan Xiong, Vaibhav Kumar, Jamie Callan:
CAsT-19: A Dataset for Conversational Information Seeking. SIGIR 2020: 1985-1988 - [c37]Jianfeng Gao, Chenyan Xiong, Paul Bennett:
Recent Advances in Conversational Information Retrieval. SIGIR 2020: 2421-2424 - [c36]Jeffrey Dalton, Chenyan Xiong, Jamie Callan:
CAsT 2020: The Conversational Assistance Track Overview. TREC 2020 - [c35]Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Selective Weak Supervision for Neural Information Retrieval. WWW 2020: 474-485 - [c34]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. WWW 2020: 486-497 - [c33]Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett:
Leading Conversational Search by Suggesting Useful Questions. WWW 2020: 1160-1170 - [c32]Chen Zhao, Chenyan Xiong, Xin Qian, Jordan L. Boyd-Graber:
Complex Factoid Question Answering with a Free-Text Knowledge Graph. WWW 2020: 1205-1216 - [i30]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. CoRR abs/2001.09522 (2020) - [i29]Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Selective Weak Supervision for Neural Information Retrieval. CoRR abs/2001.10382 (2020) - [i28]Jeffrey Dalton, Chenyan Xiong, Jamie Callan:
TREC CAsT 2019: The Conversational Assistance Track Overview. CoRR abs/2003.13624 (2020) - [i27]Si Sun, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Jie Bao:
Joint Keyphrase Chunking and Salience Ranking with BERT. CoRR abs/2004.13639 (2020) - [i26]Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu:
Few-Shot Generative Conversational Query Rewriting. CoRR abs/2006.05009 (2020) - [i25]Corby Rosset, Chenyan Xiong, Minh Phan, Xia Song, Paul N. Bennett, Saurabh Tiwary:
Knowledge-Aware Language Model Pretraining. CoRR abs/2007.00655 (2020) - [i24]Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, Arnold Overwijk:
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. CoRR abs/2007.00808 (2020) - [i23]Edgar Meij, Tara Safavi, Chenyan Xiong, Gianluca Demartini, Miriam Redi, Fatma Özcan:
Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020. CoRR abs/2007.11659 (2020) - [i22]Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. CoRR abs/2010.07245 (2020) - [i21]Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang:
Long Document Ranking with Query-Directed Sparse Transformer. CoRR abs/2010.12683 (2020) - [i20]Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett:
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. CoRR abs/2011.01580 (2020) - [i19]Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang:
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. CoRR abs/2011.05268 (2020) - [i18]Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett:
Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision. CoRR abs/2012.14862 (2020)
2010 – 2019
- 2019
- [j3]Laura Dietz, Chenyan Xiong, Jeff Dalton, Edgar Meij:
Special issue on knowledge graphs and semantics in text analysis and retrieval. Inf. Retr. J. 22(3-4): 229-231 (2019) - [c31]Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu:
Target-Guided Open-Domain Conversation. ACL (1) 2019: 5624-5634 - [c30]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Explore Entity Embedding Effectiveness in Entity Retrieval. CCL 2019: 105-116 - [c29]Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk:
Open Domain Web Keyphrase Extraction Beyond Language Modeling. EMNLP/IJCNLP (1) 2019: 5174-5183 - [c28]Yue Yin, Chenyan Xiong, Cheng Luo, Zhiyuan Liu:
Neural Document Expansion with User Feedback. ICTIR 2019: 105-108 - [c27]Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary:
Generic Intent Representation in Web Search. SIGIR 2019: 65-74 - [c26]Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary:
An Axiomatic Approach to Regularizing Neural Ranking Models. SIGIR 2019: 981-984 - [i17]Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary:
An Axiomatic Approach to Regularizing Neural Ranking Models. CoRR abs/1904.06808 (2019) - [i16]Yifan Qiao, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Understanding the Behaviors of BERT in Ranking. CoRR abs/1904.07531 (2019) - [i15]Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu:
Target-Guided Open-Domain Conversation. CoRR abs/1905.11553 (2019) - [i14]Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary:
Generic Intent Representation in Web Search. CoRR abs/1907.10710 (2019) - [i13]Yue Yin, Chenyan Xiong, Cheng Luo, Zhiyuan Liu:
Neural Document Expansion with User Feedback. CoRR abs/1908.02938 (2019) - [i12]Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig:
Latent Relation Language Models. CoRR abs/1908.07690 (2019) - [i11]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Explore Entity Embedding Effectiveness in Entity Retrieval. CoRR abs/1908.10554 (2019) - [i10]Zhenghao Liu, Chenyan Xiong, Maosong Sun:
Kernel Graph Attention Network for Fact Verification. CoRR abs/1910.09796 (2019) - [i9]Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk:
Open Domain Web Keyphrase Extraction Beyond Language Modeling. CoRR abs/1911.02671 (2019) - [i8]Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
Conversation Generation with Concept Flow. CoRR abs/1911.02707 (2019) - [i7]Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan:
Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator. CoRR abs/1911.03047 (2019) - 2018
- [j2]Chenyan Xiong:
Text Representation, Retrieval, and Understanding with Knowledge Graphs. SIGIR Forum 52(2): 180-181 (2018) - [c25]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval. ACL (1) 2018: 2395-2405 - [c24]Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura, Eduard H. Hovy:
Automatic Event Salience Identification. EMNLP 2018: 1226-1236 - [c23]Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Tie-Yan Liu:
Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. SIGIR 2018: 575-584 - [c22]Mary Arpita Pyreddy, Varshini Ramaseshan, Narendra Nath Joshi, Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Consistency and Variation in Kernel Neural Ranking Model. SIGIR 2018: 961-964 - [c21]Laura Dietz, Chenyan Xiong, Jeff Dalton, Edgar Meij:
The Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR). SIGIR 2018: 1423-1426 - [c20]Gustavo Gonçalves, João Magalhães, Chenyan Xiong, Jamie Callan:
Improving Ad Hoc Retrieval With Bag Of Entities. TREC 2018 - [c19]Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. WSDM 2018: 126-134 - [c18]Bin Wu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Query Suggestion with Feedback Memory Network. WWW 2018: 1563-1571 - [i6]Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Tie-Yan Liu:
Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. CoRR abs/1805.01334 (2018) - [i5]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval. CoRR abs/1805.07591 (2018) - [i4]Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura, Eduard H. Hovy:
Automatic Event Salience Identification. CoRR abs/1809.00647 (2018) - [i3]Mary Arpita Pyreddy, Varshini Ramaseshan, Narendra Nath Joshi, Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Consistency and Variation in Kernel Neural Ranking Model. CoRR abs/1809.10522 (2018) - 2017
- [j1]Laura Dietz, Chenyan Xiong, Edgar Meij:
Overview of The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR). SIGIR Forum 51(3): 139-144 (2017) - [c17]Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Eduard H. Hovy:
JointSem: Combining Query Entity Linking and Entity based Document Ranking. CIKM 2017: 2391-2394 - [c16]Cheng Luo, Tetsuya Sakai, Yiqun Liu, Zhicheng Dou, Chenyan Xiong, Jingfang Xu:
Overview of the NTCIR-13 We Want Web Task. NTCIR 2017 - [c15]Zhuyun Dai, Chenyan Xiong, Jamie Callan:
An Evaluation of the Kernel Based Neural Ranking Model in NTCIR-13 WWW. NTCIR 2017 - [c14]Hongyu Li, Chenyan Xiong, Jamie Callan:
Natural Language Supported Relation Matching for Question Answering with Knowledge Graphs. KG4IR@SIGIR 2017: 43-48 - [c13]Chenyan Xiong, Zhuyun Dai, Jamie Callan, Zhiyuan Liu, Russell Power:
End-to-End Neural Ad-hoc Ranking with Kernel Pooling. SIGIR 2017: 55-64 - [c12]Chenyan Xiong, Jamie Callan, Tie-Yan Liu:
Word-Entity Duet Representations for Document Ranking. SIGIR 2017: 763-772 - [c11]Faegheh Hasibi, Fedor Nikolaev, Chenyan Xiong, Krisztian Balog, Svein Erik Bratsberg, Alexander Kotov, Jamie Callan:
DBpedia-Entity v2: A Test Collection for Entity Search. SIGIR 2017: 1265-1268 - [c10]Laura Dietz, Chenyan Xiong, Edgar Meij:
The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR). SIGIR 2017: 1427-1428 - [c9]Chenyan Xiong, Russell Power, Jamie Callan:
Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding. WWW 2017: 1271-1279 - [e1]Laura Dietz, Chenyan Xiong, Edgar Meij:
Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Shinjuku, Tokyo, Japan, August 11, 2017. CEUR Workshop Proceedings 1883, CEUR-WS.org 2017 [contents] - [i2]Chenyan Xiong, Zhuyun Dai, Jamie Callan, Zhiyuan Liu, Russell Power:
End-to-End Neural Ad-hoc Ranking with Kernel Pooling. CoRR abs/1706.06613 (2017) - [i1]Chenyan Xiong, Jamie Callan, Tie-Yan Liu:
Word-Entity Duet Representations for Document Ranking. CoRR abs/1706.06636 (2017) - 2016
- [c8]Zhuyun Dai, Chenyan Xiong, Jamie Callan:
Query-Biased Partitioning for Selective Search. CIKM 2016: 1119-1128 - [c7]Chenyan Xiong, Jamie Callan, Tie-Yan Liu:
Bag-of-Entities Representation for Ranking. ICTIR 2016: 181-184 - [c6]Jing Chen, Chenyan Xiong, Jamie Callan:
An Empirical Study of Learning to Rank for Entity Search. SIGIR 2016: 737-740 - 2015
- [c5]Chenyan Xiong, Jamie Callan:
EsdRank: Connecting Query and Documents through External Semi-Structured Data. CIKM 2015: 951-960 - [c4]Chenyan Xiong, Jamie Callan:
Query Expansion with Freebase. ICTIR 2015: 111-120 - 2014
- [c3]Bhavana Bharat Dalvi, Chenyan Xiong, Jamie Callan:
A language modeling approach to entity recognition and disambiguation for search queries. ERD@SIGIR 2014: 45-54 - 2013
- [c2]Di Wang, Chenyan Xiong, William Yang Wang:
Automatic Domain Partitioning for Multi-Domain Learning. EMNLP 2013: 869-873 - 2012
- [c1]Chenyan Xiong, Taifeng Wang, Wenkui Ding, Yidong Shen, Tie-Yan Liu:
Relational click prediction for sponsored search. WSDM 2012: 493-502
Coauthor Index
[c86] [c85] [c83] [i78] [i77] [i69] [c81] [c80] [c78] [c75] [c73] [i61] [i60] [i59] [i57] [i56] [i55] [i54] [c70] [c69] [c67] [i49] [i48] [i47] [i45] [c64] [c61] [c57] [c53] [c52] [c51] [i43] [i37] [i35] [i33] [c48] [c47] [c46] [c39] [c35] [i29] [i27] [i26] [i20] [i18] [c30] [c28] [i16] [i13] [i11] [i8] [c25] [c22] [c19] [c18] [i5] [i3] [c13] [i2]
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