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Journal Articles
- 2022
[j3]Jonathan H. Clark, Dan Garrette, Iulia Turc, John Wieting:
Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation. Trans. Assoc. Comput. Linguistics 10: 73-91 (2022)- 2020
- [j2]Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime G. Carbonell, Graham Neubig:
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking. Trans. Assoc. Comput. Linguistics 8: 109-124 (2020) - 2015
- [j1]John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu:
From Paraphrase Database to Compositional Paraphrase Model and Back. Trans. Assoc. Comput. Linguistics 3: 345-358 (2015)
Conference and Workshop Papers
- 2024
- [c28]Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer:
PostMark: A Robust Blackbox Watermark for Large Language Models. EMNLP 2024: 8969-8987 - [c27]Nandan Thakur, Jianmo Ni, Gustavo Hernández Ábrego, John Wieting, Jimmy Lin, Daniel Cer:
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval. NAACL-HLT 2024: 7699-7724 - 2023
- [c26]William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting:
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. AAAI 2023: 15385-15392 - [c25]John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick:
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. ACL (1) 2023: 12044-12066 - [c24]Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen:
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. EACL 2023: 1589-1602 - [c23]Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang:
Evaluating and Modeling Attribution for Cross-Lingual Question Answering. EMNLP 2023: 144-157 - [c22]Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin, Mihir Kale, Min Ma, Massimo Nicosia, Shruti Rijhwani, Parker Riley, Jean Michel A. Sarr, Xinyi Wang, John Wieting, Nitish Gupta, Anna Katanova, Christo Kirov, Dana L. Dickinson, Brian Roark, Bidisha Samanta, Connie Tao, David Ifeoluwa Adelani, Vera Axelrod, Isaac Caswell, Colin Cherry, Dan Garrette, R. Reeve Ingle, Melvin Johnson, Dmitry Panteleev, Partha Talukdar:
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages. EMNLP (Findings) 2023: 1856-1884 - [c21]Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer:
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense. NeurIPS 2023 - 2022
- [c20]Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig:
On The Ingredients of an Effective Zero-shot Semantic Parser. ACL (1) 2022: 1455-1474 - [c19]Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer:
RankGen: Improving Text Generation with Large Ranking Models. EMNLP 2022: 199-232 - [c18]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Paraphrastic Representations at Scale. EMNLP (Demos) 2022: 379-388 - [c17]Yue Dong, John Wieting, Pat Verga:
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization. EMNLP (Findings) 2022: 1067-1082 - [c16]Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri, John Wieting, Mohit Iyyer:
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature. EMNLP 2022: 9882-9902 - 2021
- [c15]Yixin Liu, Graham Neubig, John Wieting:
On Learning Text Style Transfer with Direct Rewards. NAACL-HLT 2021: 4262-4273 - 2020
- [c14]Kalpesh Krishna, John Wieting, Mohit Iyyer:
Reformulating Unsupervised Style Transfer as Paraphrase Generation. EMNLP (1) 2020: 737-762 - [c13]John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick:
A Bilingual Generative Transformer for Semantic Sentence Embedding. EMNLP (1) 2020: 1581-1594 - 2019
- [c12]John Wieting, Taylor Berg-Kirkpatrick
, Kevin Gimpel, Graham Neubig:
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. ACL (1) 2019: 4344-4355 - [c11]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Simple and Effective Paraphrastic Similarity from Parallel Translations. ACL (1) 2019: 4602-4608 - [c10]John Wieting, Douwe Kiela:
No Training Required: Exploring Random Encoders for Sentence Classification. ICLR (Poster) 2019 - 2018
- [c9]John Wieting, Kevin Gimpel:
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. ACL (1) 2018: 451-462 - [c8]Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev-Arie Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth:
CogCompNLP: Your Swiss Army Knife for NLP. LREC 2018 - [c7]Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer:
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. NAACL-HLT 2018: 1875-1885 - [c6]Manasvi Sagarkar, John Wieting, Lifu Tu, Kevin Gimpel:
Quality Signals in Generated Stories. *SEM@NAACL-HLT 2018: 192-202 - 2017
- [c5]John Wieting, Kevin Gimpel:
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings. ACL (1) 2017: 2078-2088 - [c4]John Wieting, Jonathan Mallinson, Kevin Gimpel:
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext. EMNLP 2017: 274-285 - 2016
- [c3]John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu:
Charagram: Embedding Words and Sentences via Character n-grams. EMNLP 2016: 1504-1515 - [c2]Hua He, John Wieting, Kevin Gimpel, Jinfeng Rao, Jimmy Lin:
UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement. SemEval@NAACL-HLT 2016: 1103-1108 - [c1]John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu:
Towards Universal Paraphrastic Sentence Embeddings. ICLR 2016
Informal and Other Publications
- 2024
- [i34]Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer:
PostMark: A Robust Blackbox Watermark for Large Language Models. CoRR abs/2406.14517 (2024) - [i33]Dara Bahri, John Wieting, Dana Alon, Donald Metzler:
A Watermark for Black-Box Language Models. CoRR abs/2410.02099 (2024) - 2023
- [i32]Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer:
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense. CoRR abs/2303.13408 (2023) - [i31]Ivan Stelmakh, John Wieting, Graham Neubig, Nihar B. Shah:
A Gold Standard Dataset for the Reviewer Assignment Problem. CoRR abs/2303.16750 (2023) - [i30]Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin, Mihir Kale, Min Ma, Massimo Nicosia, Shruti Rijhwani, Parker Riley, Jean Michel A. Sarr, Xinyi Wang, John Wieting, Nitish Gupta, Anna Katanova, Christo Kirov, Dana L. Dickinson, Brian Roark, Bidisha Samanta, Connie Tao, David Ifeoluwa Adelani, Vera Axelrod, Isaac Caswell, Colin Cherry, Dan Garrette, R. Reeve Ingle, Melvin Johnson, Dmitry Panteleev, Partha Talukdar:
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages. CoRR abs/2305.11938 (2023) - [i29]Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Baldini Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang:
Evaluating and Modeling Attribution for Cross-Lingual Question Answering. CoRR abs/2305.14332 (2023) - [i28]Xinyi Wang, John Wieting, Jonathan H. Clark:
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning. CoRR abs/2309.04663 (2023) - [i27]Nandan Thakur, Jianmo Ni, Gustavo Hernández Ábrego, John Wieting, Jimmy Lin, Daniel Cer:
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval. CoRR abs/2311.05800 (2023) - 2022
- [i26]Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen:
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. CoRR abs/2204.04581 (2022) - [i25]Yue Dong, John Wieting, Pat Verga:
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization. CoRR abs/2204.13761 (2022) - [i24]Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer:
RankGen: Improving Text Generation with Large Ranking Models. CoRR abs/2205.09726 (2022) - [i23]Wenhu Chen, William W. Cohen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting:
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. CoRR abs/2207.00630 (2022) - [i22]Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri, John Wieting, Mohit Iyyer:
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature. CoRR abs/2210.14250 (2022) - [i21]John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick:
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. CoRR abs/2212.10726 (2022) - 2021
- [i20]Jonathan H. Clark, Dan Garrette, Iulia Turc, John Wieting:
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation. CoRR abs/2103.06874 (2021) - [i19]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Paraphrastic Representations at Scale. CoRR abs/2104.15114 (2021) - [i18]Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig:
On The Ingredients of an Effective Zero-shot Semantic Parser. CoRR abs/2110.08381 (2021) - [i17]Monisha Jegadeesan, Sachin Kumar, John Wieting, Yulia Tsvetkov:
Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs. CoRR abs/2110.13231 (2021) - 2020
- [i16]Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime G. Carbonell, Graham Neubig:
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking. CoRR abs/2003.01343 (2020) - [i15]Kalpesh Krishna, John Wieting, Mohit Iyyer:
Reformulating Unsupervised Style Transfer as Paraphrase Generation. CoRR abs/2010.05700 (2020) - [i14]Yixin Liu, Graham Neubig, John Wieting:
On Learning Text Style Transfer with Direct Rewards. CoRR abs/2010.12771 (2020) - 2019
- [i13]John Wieting, Douwe Kiela:
No Training Required: Exploring Random Encoders for Sentence Classification. CoRR abs/1901.10444 (2019) - [i12]John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig:
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. CoRR abs/1909.06694 (2019) - [i11]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Simple and Effective Paraphrastic Similarity from Parallel Translations. CoRR abs/1909.13872 (2019) - [i10]John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick:
A Bilingual Generative Transformer for Semantic Sentence Embedding. CoRR abs/1911.03895 (2019) - 2018
- [i9]Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer:
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. CoRR abs/1804.06059 (2018) - 2017
- [i8]John Wieting, Kevin Gimpel:
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings. CoRR abs/1705.00364 (2017) - [i7]John Wieting, Jonathan Mallinson, Kevin Gimpel:
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext. CoRR abs/1706.01847 (2017) - [i6]John Wieting, Kevin Gimpel:
Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. CoRR abs/1711.05732 (2017) - 2016
- [i5]John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu:
Charagram: Embedding Words and Sentences via Character n-grams. CoRR abs/1607.02789 (2016) - 2015
- [i4]John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu:
From Paraphrase Database to Compositional Paraphrase Model and Back. CoRR abs/1506.03487 (2015) - [i3]Daniel Khashabi, Jeffrey Yufei Liu, John Wieting, Feng Liang:
Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm. CoRR abs/1508.06235 (2015) - 2014
- [i2]John Wieting:
Tiered Clustering to Improve Lexical Entailment. CoRR abs/1412.0751 (2014) - 2013
- [i1]Xiao Cheng, Bingling Chen, Rajhans Samdani, Kai-Wei Chang, Zhiye Fei, Mark Sammons, John Wieting, Subhro Roy, Chizheng Wang, Dan Roth:
Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems. TAC 2013
Coauthor Index
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