John Wieting

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 58

Top Topics

Machine Translation

Similarity Measurement

Top Venues

Trans. Assoc. Comput. Linguistics

Publications

Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer
PostMark: A Robust Blackbox Watermark for Large Language Models. CoRR (2024)
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)
Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense. CoRR (2023)
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)
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)
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)
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 (2023)
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)
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 I. 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 (2023)
Xinyi Wang, John Wieting, Jonathan H. Clark
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning. CoRR (2023)
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)
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 (2023)
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)
Ivan Stelmakh, John Wieting, Graham Neubig, Nihar B. Shah
A Gold Standard Dataset for the Reviewer Assignment Problem. CoRR (2023)
Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer
RankGen: Improving Text Generation with Large Ranking Models. CoRR (2022)
Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig
On The Ingredients of an Effective Zero-shot Semantic Parser. ACL (1) (2022)
John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. CoRR (2022)
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)
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
Paraphrastic Representations at Scale. EMNLP (Demos) (2022)
Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer
RankGen: Improving Text Generation with Large Ranking Models. EMNLP (2022)
Yue Dong, John Wieting, Pat Verga
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization. CoRR (2022)
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 (2022)
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 (2022)
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)
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 (2022)
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 (2022)
Yixin Liu, Graham Neubig, John Wieting
On Learning Text Style Transfer with Direct Rewards. NAACL-HLT (2021)
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
Paraphrastic Representations at Scale. CoRR (2021)
Jonathan H. Clark, Dan Garrette, Iulia Turc, John Wieting
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation. CoRR (2021)
Monisha Jegadeesan, Sachin Kumar, John Wieting, Yulia Tsvetkov
Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs. CoRR (2021)
Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig
On The Ingredients of an Effective Zero-shot Semantic Parser. CoRR (2021)
John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick
A Bilingual Generative Transformer for Semantic Sentence Embedding. EMNLP (1) (2020)
Kalpesh Krishna, John Wieting, Mohit Iyyer
Reformulating Unsupervised Style Transfer as Paraphrase Generation. CoRR (2020)
Kalpesh Krishna, John Wieting, Mohit Iyyer
Reformulating Unsupervised Style Transfer as Paraphrase Generation. EMNLP (1) (2020)
Yixin Liu, Graham Neubig, John Wieting
On Learning Text Style Transfer with Direct Rewards. CoRR (2020)
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 (2020)
Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime G. Carbonell, Graham Neubig
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking. CoRR (2020)
John Wieting, Douwe Kiela
No Training Required: Exploring Random Encoders for Sentence Classification. CoRR (2019)
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
Simple and Effective Paraphrastic Similarity from Parallel Translations. CoRR (2019)
John Wieting, Douwe Kiela
No Training Required: Exploring Random Encoders for Sentence Classification. ICLR (Poster) (2019)
John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. ACL (1) (2019)
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
Simple and Effective Paraphrastic Similarity from Parallel Translations. ACL (1) (2019)
John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick
A Bilingual Generative Transformer for Semantic Sentence Embedding. CoRR (2019)
John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. CoRR (2019)
Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. CoRR (2018)
Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. NAACL-HLT (2018)
Manasvi Sagarkar, John Wieting, Lifu Tu, Kevin Gimpel
Quality Signals in Generated Stories. *SEM@NAACL-HLT (2018)
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)
John Wieting, Kevin Gimpel
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. ACL (1) (2018)
John Wieting, Kevin Gimpel
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings. CoRR (2017)
John Wieting, Kevin Gimpel
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings. ACL (1) (2017)
John Wieting, Jonathan Mallinson, Kevin Gimpel
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext. EMNLP (2017)
John Wieting, Jonathan Mallinson, Kevin Gimpel
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext. CoRR (2017)
John Wieting, Kevin Gimpel
Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. CoRR (2017)
John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu
Towards Universal Paraphrastic Sentence Embeddings. ICLR (2016)
John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu
Charagram: Embedding Words and Sentences via Character n-grams. CoRR (2016)
John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu
Charagram: Embedding Words and Sentences via Character n-grams. EMNLP (2016)
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)
John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu
From Paraphrase Database to Compositional Paraphrase Model and Back. Trans. Assoc. Comput. Linguistics 3 (2015)
John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu
From Paraphrase Database to Compositional Paraphrase Model and Back. CoRR (2015)
Daniel Khashabi, Jeffrey Yufei Liu, John Wieting, Feng Liang
Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm. CoRR (2015)
John Wieting
Tiered Clustering to Improve Lexical Entailment. CoRR (2014)
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)