John Wieting

67 papers A* 9A 1B 1Journal 38Unranked 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
Improving Detection of Watermarked Language Models.
CoRR
Dara Bahri, John Wieting
2024 J jnl
A Watermark for Black-Box Language Models.
CoRR
Dara Bahri, John Wieting, Dana Alon, Donald Metzler
2024 — conf
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval.
NAACL-HLT
Nandan Thakur, Jianmo Ni, Gustavo Hernández Ábrego, John Wieting, Jimmy Lin, Daniel Cer
2024 J jnl
Multiple References with Meaningful Variations Improve Literary Machine Translation.
CoRR
Si Wu, John Wieting, David A. Smith
2024 A* conf
PostMark: A Robust Blackbox Watermark for Large Language Models.
EMNLP
Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer
2024 J jnl
PostMark: A Robust Blackbox Watermark for Large Language Models.
CoRR
Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer
2023 J jnl
A Gold Standard Dataset for the Reviewer Assignment Problem.
CoRR
Ivan Stelmakh, John Wieting, Graham Neubig, Nihar B. Shah
2023 A conf
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering.
EACL
Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen
2023 — conf
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval.
ACL (1)
John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick
2023 A* conf
Evaluating and Modeling Attribution for Cross-Lingual Question Answering.
EMNLP
Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang
2023 J jnl
Evaluating and Modeling Attribution for Cross-Lingual Question Answering.
CoRR
Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Baldini Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang
2023 J jnl
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning.
CoRR
Xinyi Wang, John Wieting, Jonathan H. Clark
2023 J jnl
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval.
CoRR
Nandan Thakur, Jianmo Ni, Gustavo Hernández Ábrego, John Wieting, Jimmy Lin, Daniel Cer
2023 A* conf
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense.
NeurIPS
Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer
2023 J jnl
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense.
CoRR
Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer
2023 A* conf
QA Is the New KR: Question-Answer Pairs as Knowledge Bases.
AAAI
William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting
2023 — conf
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages.
EMNLP (Findings)
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
2023 J jnl
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages.
CoRR
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
2022 J jnl
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering.
CoRR
Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen
2022 J jnl
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval.
CoRR
John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick
2022 J jnl
Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation.
Trans. Assoc. Comput. Linguistics
Jonathan H. Clark, Dan Garrette, Iulia Turc, John Wieting
2022 A* conf
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature.
EMNLP
Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri, John Wieting, Mohit Iyyer
2022 J jnl
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature.
CoRR
Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri, John Wieting, Mohit Iyyer
2022 — conf
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization.
EMNLP (Findings)
Yue Dong, John Wieting, Pat Verga
2022 J jnl
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization.
CoRR
Yue Dong, John Wieting, Pat Verga
2022 — conf
On The Ingredients of an Effective Zero-shot Semantic Parser.
ACL (1)
Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig
2022 — conf
Paraphrastic Representations at Scale.
EMNLP (Demos)
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
2022 J jnl
QA Is the New KR: Question-Answer Pairs as Knowledge Bases.
CoRR
Wenhu Chen, William W. Cohen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting
2022 A* conf
RankGen: Improving Text Generation with Large Ranking Models.
EMNLP
Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer
2022 J jnl
RankGen: Improving Text Generation with Large Ranking Models.
CoRR
Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer
2021 J jnl
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation.
CoRR
Jonathan H. Clark, Dan Garrette, Iulia Turc, John Wieting
2021 J jnl
Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs.
CoRR
Monisha Jegadeesan, Sachin Kumar, John Wieting, Yulia Tsvetkov
2021 — conf
On Learning Text Style Transfer with Direct Rewards.
NAACL-HLT
Yixin Liu, Graham Neubig, John Wieting
2021 J jnl
On The Ingredients of an Effective Zero-shot Semantic Parser.
CoRR
Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig
2021 J jnl
Paraphrastic Representations at Scale.
CoRR
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
2020 — conf
A Bilingual Generative Transformer for Semantic Sentence Embedding.
EMNLP (1)
John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick
2020 J jnl
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking.
CoRR
Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime G. Carbonell, Graham Neubig
2020 J jnl
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking.
Trans. Assoc. Comput. Linguistics
Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime G. Carbonell, Graham Neubig
2020 J jnl
On Learning Text Style Transfer with Direct Rewards.
CoRR
Yixin Liu, Graham Neubig, John Wieting
2020 — conf
Reformulating Unsupervised Style Transfer as Paraphrase Generation.
EMNLP (1)
Kalpesh Krishna, John Wieting, Mohit Iyyer
2020 J jnl
Reformulating Unsupervised Style Transfer as Paraphrase Generation.
CoRR
Kalpesh Krishna, John Wieting, Mohit Iyyer
2019 J jnl
A Bilingual Generative Transformer for Semantic Sentence Embedding.
CoRR
John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick
2019 — conf
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity.
ACL (1)
John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig
2019 J jnl
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity.
CoRR
John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig
2019 — conf
No Training Required: Exploring Random Encoders for Sentence Classification.
ICLR (Poster)
John Wieting, Douwe Kiela
2019 J jnl
No Training Required: Exploring Random Encoders for Sentence Classification.
CoRR
John Wieting, Douwe Kiela
2019 — conf
Simple and Effective Paraphrastic Similarity from Parallel Translations.
ACL (1)
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
2019 J jnl
Simple and Effective Paraphrastic Similarity from Parallel Translations.
CoRR
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
2018 — conf
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks.
NAACL-HLT
Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer
2018 J jnl
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks.
CoRR
Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer
2018 B conf
CogCompNLP: Your Swiss Army Knife for NLP.
LREC
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
2018 — conf
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations.
ACL (1)
John Wieting, Kevin Gimpel
2018 — conf
Quality Signals in Generated Stories.
*SEM@NAACL-HLT
Manasvi Sagarkar, John Wieting, Lifu Tu, Kevin Gimpel
2017 A* conf
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext.
EMNLP
John Wieting, Jonathan Mallinson, Kevin Gimpel
2017 J jnl
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext.
CoRR
John Wieting, Jonathan Mallinson, Kevin Gimpel
2017 J jnl
Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations.
CoRR
John Wieting, Kevin Gimpel
2017 — conf
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings.
ACL (1)
John Wieting, Kevin Gimpel
2017 J jnl
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings.
CoRR
John Wieting, Kevin Gimpel
2016 A* conf
Charagram: Embedding Words and Sentences via Character n-grams.
EMNLP
John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu
2016 J jnl
Charagram: Embedding Words and Sentences via Character n-grams.
CoRR
John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu
2016 A* conf
Towards Universal Paraphrastic Sentence Embeddings.
ICLR
John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu
2016 — conf
UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement.
SemEval@NAACL-HLT
Hua He, John Wieting, Kevin Gimpel, Jinfeng Rao, Jimmy Lin
2015 J jnl
Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm.
CoRR
Daniel Khashabi, Jeffrey Yufei Liu, John Wieting, Feng Liang
2015 J jnl
From Paraphrase Database to Compositional Paraphrase Model and Back.
CoRR
John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu
2015 J jnl
From Paraphrase Database to Compositional Paraphrase Model and Back.
Trans. Assoc. Comput. Linguistics
John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu
2014 J jnl
Tiered Clustering to Improve Lexical Entailment.
CoRR
John Wieting
2013 — conf
Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems.
TAC
Xiao Cheng, Bingling Chen, Rajhans Samdani, Kai-Wei Chang, Zhiye Fei, Mark Sammons, John Wieting, Subhro Roy, Chizheng Wang, Dan Roth