Jesse Vig

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 31

Top Topics

Wikipedia Pages

Top Venues

NAACL-HLT (Industry Papers)

Publications

Prafulla Kumar Choubey, Alexander R. Fabbri, Jesse Vig, Chien-Sheng Wu, Wenhao Liu, Nazneen Rajani
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization. ACL (Findings) (2023)
Philippe Laban, Jesse Vig, Wojciech Kryscinski, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages. ACL (1) (2023)
Philippe Laban, Jesse Vig, Marti A. Hearst, Caiming Xiong, Chien-Sheng Wu
Beyond the Chat: Executable and Verifiable Text-Editing with LLMs. CoRR (2023)
Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong
XGen-7B Technical Report. CoRR (2023)
Philippe Laban, Jesse Vig, Wojciech Kryscinski, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages. CoRR (2023)
Fan Yin, Jesse Vig, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Jason Wu
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning. CoRR (2023)
Fan Yin, Jesse Vig, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning. ACL (1) (2023)
Jesse Vig, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu, Wenhao Liu
Exploring Neural Models for Query-Focused Summarization. NAACL-HLT (Findings) (2022)
Anamaria Crisan, Margaret Drouhard, Jesse Vig, Nazneen Rajani
Interactive Model Cards: A Human-Centered Approach to Model Documentation. CoRR (2022)
Anamaria Crisan, Margaret Drouhard, Jesse Vig, Nazneen Rajani
Interactive Model Cards: A Human-Centered Approach to Model Documentation. FAccT (2022)
Jun Yuan, Jesse Vig, Nazneen Rajani
iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models. CoRR (2022)
Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong
Improving Factual Consistency in Summarization with Compression-Based Post-Editing. EMNLP (2022)
Jun Yuan, Jesse Vig, Nazneen Rajani
iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models. IUI (2022)
Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong
Improving Factual Consistency in Summarization with Compression-Based Post-Editing. CoRR (2022)
Jesse Vig, Wojciech Kryscinski, Karan Goel, Nazneen Rajani
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization. ACL (demo) (2021)
Jesse Vig, Wojciech Kryscinski, Karan Goel, Nazneen Fatema Rajani
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization. CoRR (2021)
Karan Goel, Laurel J. Orr, Nazneen Fatema Rajani, Jesse Vig, Christopher Ré
Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems. NAACL-HLT (Industry Papers) (2021)
Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Zachary Taschdjian, Mohit Bansal, Christopher Ré
Robustness Gym: Unifying the NLP Evaluation Landscape. NAACL-HLT (Demonstrations) (2021)
Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani
BERTology Meets Biology: Interpreting Attention in Protein Language Models. ICLR (2021)
Prafulla Kumar Choubey, Jesse Vig, Wenhao Liu, Nazneen Fatema Rajani
MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization. CoRR (2021)
Jesse Vig, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu, Wenhao Liu
Exploring Neural Models for Query-Focused Summarization. CoRR (2021)
Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré
Robustness Gym: Unifying the NLP Evaluation Landscape. CoRR (2021)
Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Yaron Singer, Stuart M. Shieber
Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias. CoRR (2020)
Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani
BERTology Meets Biology: Interpreting Attention in Protein Language Models. CoRR (2020)
Pascal Sturmfels, Jesse Vig, Ali Madani, Nazneen Fatema Rajani
Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models. CoRR (2020)
Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Yaron Singer, Stuart M. Shieber
Investigating Gender Bias in Language Models Using Causal Mediation Analysis. NeurIPS (2020)
Jesse Vig, Yonatan Belinkov
Analyzing the Structure of Attention in a Transformer Language Model. CoRR (2019)
Jesse Vig
A Multiscale Visualization of Attention in the Transformer Model. CoRR (2019)
Jesse Vig
A Multiscale Visualization of Attention in the Transformer Model. ACL (3) (2019)
Jesse Vig
Visualizing Attention in Transformer-Based Language Representation Models. CoRR (2019)
Jesse Vig, Yonatan Belinkov
Analyzing the Structure of Attention in a Transformer Language Model. BlackboxNLP@ACL (2019)
Jesse Vig, Shilad Sen, John Riedl
The Tag Genome: Encoding Community Knowledge to Support Novel Interaction. ACM Trans. Interact. Intell. Syst. 2 (3) (2012)
Jesse Vig, Shilad Sen, John Riedl
Navigating the tag genome. IUI (2011)
Jesse Vig
Intelligent tagging interfaces: beyond folksonomy. UIST (Adjunct Volume) (2010)
Jesse Vig, Matthew Soukup, Shilad Sen, John Riedl
Tag expression: tagging with feeling. UIST (2010)
Jesse Vig, Shilad Sen, John Riedl
Tagsplanations: explaining recommendations using tags. IUI (2009)
Shilad Sen, Jesse Vig, John Riedl
Tagommenders: connecting users to items through tags. WWW (2009)
Shilad Sen, Jesse Vig, John Riedl
Learning to recognize valuable tags. IUI (2009)