Learning to recognize valuable tags. - Shilad Sen; Jesse Vig; John Riedl (IUI, 2009)

Tagsplanations: explaining recommendations using tags. - Jesse Vig; Shilad Sen; John Riedl (IUI, 2009)

Tagommenders: connecting users to items through tags. - Shilad Sen; Jesse Vig; John Riedl (WWW, 2009)

Intelligent tagging interfaces: beyond folksonomy. - Jesse Vig (UIST (Adjunct Volume), 2010)

Tag expression: tagging with feeling. - Jesse Vig; Matthew Soukup; Shilad Sen; John Riedl (UIST, 2010)

Navigating the tag genome. - Jesse Vig; Shilad Sen; John Riedl (IUI, 2011)

The Tag Genome: Encoding Community Knowledge to Support Novel Interaction. - Jesse Vig; Shilad Sen; John Riedl (ACM Trans. Interact. Intell. Syst., 2012)

A Multiscale Visualization of Attention in the Transformer Model. - Jesse Vig (ACL (3), 2019)

Analyzing the Structure of Attention in a Transformer Language Model. - Jesse Vig; Yonatan Belinkov (BlackboxNLP@ACL, 2019)

Visualizing Attention in Transformer-Based Language Representation Models. - Jesse Vig (CoRR, 2019)

Investigating Gender Bias in Language Models Using Causal Mediation Analysis. - Jesse Vig; Sebastian Gehrmann; Yonatan Belinkov; Sharon Qian; Daniel Nevo; Yaron Singer; Stuart M. Shieber (NeurIPS, 2020)

Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias. - Jesse Vig; Sebastian Gehrmann; Yonatan Belinkov; Sharon Qian; Daniel Nevo; Yaron Singer; Stuart M. Shieber (CoRR, 2020)

Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models. - Pascal Sturmfels; Jesse Vig; Ali Madani; Nazneen Fatema Rajani (CoRR, 2020)

SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization. - Jesse Vig; Wojciech Kryscinski; Karan Goel; Nazneen Rajani (ACL (demo), 2021)

BERTology Meets Biology: Interpreting Attention in Protein Language Models. - Jesse Vig; Ali Madani; Lav R. Varshney; Caiming Xiong; Richard Socher; Nazneen Fatema Rajani (ICLR, 2021)

Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems. - Karan Goel; Laurel J. Orr; Nazneen Fatema Rajani; Jesse Vig; Christopher Ré (NAACL-HLT (Industry Papers), 2021)

Robustness Gym: Unifying the NLP Evaluation Landscape. - Karan Goel; Nazneen Fatema Rajani; Jesse Vig; Zachary Taschdjian; Mohit Bansal; Christopher Ré (NAACL-HLT (Demonstrations), 2021)

Robustness Gym: Unifying the NLP Evaluation Landscape. - Karan Goel; Nazneen Fatema Rajani; Jesse Vig; Samson Tan; Jason Wu; Stephan Zheng; Caiming Xiong; Mohit Bansal; Christopher Ré (CoRR, 2021)

MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization. - Prafulla Kumar Choubey; Jesse Vig; Wenhao Liu 003; Nazneen Fatema Rajani (CoRR, 2021)

Improving Factual Consistency in Summarization with Compression-Based Post-Editing. - Alexander R. Fabbri; Prafulla Kumar Choubey; Jesse Vig; Chien-Sheng Wu; Caiming Xiong (EMNLP, 2022)

Interactive Model Cards: A Human-Centered Approach to Model Documentation. - Anamaria Crisan; Margaret Drouhard; Jesse Vig; Nazneen Rajani (FAccT, 2022)

iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models. - Jun Yuan; Jesse Vig; Nazneen Rajani (IUI, 2022)

Exploring Neural Models for Query-Focused Summarization. - Jesse Vig; Alexander R. Fabbri; Wojciech Kryscinski; Chien-Sheng Wu; Wenhao Liu 003 (NAACL-HLT (Findings), 2022)

CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization. - Prafulla Kumar Choubey; Alexander R. Fabbri; Jesse Vig; Chien-Sheng Wu; Wenhao Liu 003; Nazneen Rajani (ACL (Findings), 2023)

SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages. - Philippe Laban; Jesse Vig; Wojciech Kryscinski; Shafiq Joty; Caiming Xiong; Chien-Sheng Wu (ACL (1), 2023)

Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning. - Fan Yin; Jesse Vig; Philippe Laban; Shafiq Joty; Caiming Xiong; Chien-Sheng Wu (ACL (1), 2023)

XGen-7B Technical Report. - Erik Nijkamp; Tian Xie; Hiroaki Hayashi; Bo Pang 004; Congying Xia; Chen Xing; Jesse Vig; Semih Yavuz; Philippe Laban; Ben Krause; Senthil Purushwalkam; Tong Niu; et al. (CoRR, 2023)

Beyond the Chat: Executable and Verifiable Text-Editing with LLMs. - Philippe Laban; Jesse Vig; Marti A. Hearst; Caiming Xiong; Chien-Sheng Wu (UIST, 2024)

On Positional Bias of Faithfulness for Long-form Summarization. - David Wan; Jesse Vig; Mohit Bansal; Shafiq Joty (NAACL (Long Papers), 2025)