Anthony Chen
Welcome! I recently joined Google DeepMind to continue doing fun
ML/NLP research.
I received my Ph.D. this year from UC Irvine advised by Sameer Singh.
My dissertation focused on factuality and large language models (LLMs) with an emphasis on
understanding
and addressing the pernicious problem of hallucinations in
LLMs.
During my doctorate I had the pleasure of doing research internships at Google, Verneek, and
Apple.
Recent Stuff
-
October 2023 [Paper] The Data
Provenence Initiative, an audit of the licensing and provenance of 1800+ text datasets using in
language model fine-tuning is out now along with an accompanying web interface.
September 2023 [Industry] Joined Google DeepMind full-time!
May 2023 [Paper] Work on PURR, a post-hoc method efficiently editing language model hallucinations trained by denoising lanugage model corruptions, out now!
May 2023 [Paper] Work on RARR, a post-hoc method for removing language model hallucinations, has been accepted to ACL!
Publications
-
The Data Provenance
Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI
Shayne Longpre, Robert Mahari, Anthony Chen, Naana Obeng-Marnu, Damien Sileo, William Brannon, Niklas Muennighoff, Nathan Khazam, Jad Kabbara, Kartik Perisetla, Xinyi Wu, Enrico Shippole, Kurt Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Sara Hooker
arXiv
The Data Provenance Project
Shayne Longpre, Robert Mahari, Niklas Muennighoff, Anthony Chen, Kartik Perisetla, William Brannon, Jad Kabbara, Luis Villa, Sara Hooker
Generative AI + Law (GenLaw) @ International Conference on Machine Learning (ICML) 2023
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions
Anthony Chen, Panupong Pasupat, Sameer Singh, Hongrae Lee and Kelvin Guu
arXiv
RARR: Researching and Revising What Language Models Say, Using Language Models
Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan and Kelvin Guu
Association for Computational Linguistics (ACL) 2023
Entity-Based Knowledge Conflicts in Question Answering
Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois and Sameer Singh
Empirical Methods in Natural Language Processing (EMNLP) 2021
Website Code Slides Poster
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP
Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling and Sameer Singh
Association for Computational Linguistics (ACL-IJCNLP) 2021
Website Code Data Slides
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics
Anthony Chen, Gabriel Stanovsky, Sameer Singh, and Matt Gardner
Empirical Methods in Natural Language Processing (EMNLP) 2020
Website Code Data Video Slides Demo
Evaluating Question Answering Evaluation
Anthony Chen, Gabriel Stanovsky, Sameer Singh and Matt Gardner
Machine Reading for Question Answering Workshop @ Empirical Methods in Natural Language Processing (EMNLP) 2019 Best Paper
Data Slides