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Jesse Vig
Jesse Vig
Lead Research Scientist at Salesforce
Verified email at salesforce.com - Homepage
Title
Cited by
Cited by
Year
A multiscale visualization of attention in the transformer model
J Vig
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
782*2019
Tagsplanations: explaining recommendations using tags
J Vig, S Sen, J Riedl
Proceedings of the 14th international conference on Intelligent user …, 2009
4422009
Investigating gender bias in language models using causal mediation analysis
J Vig, S Gehrmann, Y Belinkov, S Qian, D Nevo, Y Singer, S Shieber
Advances in neural information processing systems 33, 12388-12401, 2020
409*2020
Tagommenders: connecting users to items through tags
S Sen, J Vig, J Riedl
Proceedings of the 18th international conference on World wide web, 671-680, 2009
4002009
Analyzing the structure of attention in a transformer language model
J Vig, Y Belinkov
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting …, 2019
3432019
Bertology meets biology: Interpreting attention in protein language models
J Vig, A Madani, LR Varshney, C Xiong, R Socher, NF Rajani
Proceedings of the 9th International Conference on Learning Representations, 2021
2782021
The tag genome: Encoding community knowledge to support novel interaction
J Vig, S Sen, J Riedl
ACM Transactions on Interactive Intelligent Systems (TiiS) 2 (3), 1-44, 2012
1812012
Robustness gym: Unifying the NLP evaluation landscape
K Goel, N Rajani, J Vig, S Tan, J Wu, S Zheng, C Xiong, M Bansal, C Ré
arXiv preprint arXiv:2101.04840, 2021
1312021
Interactive model cards: A human-centered approach to model documentation
A Crisan, M Drouhard, J Vig, N Rajani
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
662022
Navigating the tag genome
J Vig, S Sen, J Riedl
Proceedings of the 16th international conference on Intelligent user …, 2011
602011
Comparison of transfer-learning approaches for response selection in multi-turn conversations
J Vig, K Ramea
Workshop on DSTC7 10, 2019
552019
Learning to recognize valuable tags
S Sen, J Vig, J Riedl
Proceedings of the 14th international conference on Intelligent user …, 2009
482009
Exploring neural models for query-focused summarization
J Vig, AR Fabbri, W Kryściński, CS Wu, W Liu
arXiv preprint arXiv:2112.07637, 2021
412021
Tag expression: Tagging with feeling
J Vig, M Soukup, S Sen, J Riedl
Proceedings of the 23nd annual ACM symposium on User interface software and …, 2010
352010
Method and a system for providing hosted services based on a generalized model of a health/wellness program
A Ram, GM Youngblood, PL Pirolli, LD Nelson, J Vig, SP Ahern, J Rubin, ...
US Patent 9,898,789, 2018
302018
Did you read the instructions? rethinking the effectiveness of task definitions in instruction learning
F Yin, J Vig, P Laban, S Joty, C Xiong, CSJ Wu
arXiv preprint arXiv:2306.01150, 2023
242023
System and method for automatic objective reporting via wearable sensors
J Rubin, GM Youngblood, A Ram, PL Pirolli, J Vig, SP Ahern, LD Nelson
US Patent 9,672,482, 2017
242017
SummVis: Interactive visual analysis of models, data, and evaluation for text summarization
J Vig, W Kryściński, K Goel, NF Rajani
arXiv preprint arXiv:2104.07605, 2021
202021
Profile prediction: An alignment-based pre-training task for protein sequence models
P Sturmfels, J Vig, A Madani, NF Rajani
arXiv preprint arXiv:2012.00195, 2020
202020
Xgen-7b technical report
E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ...
arXiv preprint arXiv:2309.03450, 2023
172023
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