Chen, Valerie

17 publications

ICLR 2026 EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits Wayne Chi, Valerie Chen, Ryan Shar, Aditya Mittal, Jenny Liang, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Ion Stoica, Graham Neubig, Ameet Talwalkar, Chris Donahue

ICLR 2026 Measuring LLM Novelty as the Frontier of Original and High-Quality Output Vishakh Padmakumar, Chen Yueh-Han, Jane Pan, Valerie Chen, He He

ICML 2025 Copilot Arena: A Platform for Code LLM Evaluation in the Wild Wayne Chi, Valerie Chen, Anastasios Nikolas Angelopoulos, Wei-Lin Chiang, Aditya Mittal, Naman Jain, Tianjun Zhang, Ion Stoica, Chris Donahue, Ameet Talwalkar

AAAI 2025 Learning Personalized Decision Support Policies Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar

TMLR 2025 The RealHumanEval: Evaluating Large Language Models’ Abilities to Support Programmers Hussein Mozannar, Valerie Chen, Mohammed Alsobay, Subhro Das, Sebastian Zhao, Dennis Wei, Manish Nagireddy, Prasanna Sattigeri, Ameet Talwalkar, David Sontag

NeurIPSW 2024 Modulating Language Model Experiences Through Frictions Katherine M. Collins, Valerie Chen, Ilia Sucholutsky, Hannah Rose Kirk, Malak Sadek, Holli Sargeant, Ameet Talwalkar, Adrian Weller, Umang Bhatt

AAAI 2024 On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani

TMLR 2024 PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans Giang Nguyen, Valerie Chen, Mohammad Reza Taesiri, Anh Totti Nguyen

NeurIPSW 2024 Probable-Class Nearest-Neighbor Explanations Improve AI & Human Accuracy Giang Nguyen, Valerie Chen, Mohammad Reza Taesiri, Anh Totti Nguyen

ICLRW 2023 A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies Ada Martin, Valerie Chen, Sérgio Jesus, Pedro Saleiro

TMLR 2023 Assisting Human Decisions in Document Matching Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B Shah, Ameet Talwalkar

NeurIPSW 2023 Simulating Iterative Human-AI Interaction in Programming with LLMs Hussein Mozannar, Valerie Chen, Dennis Wei, Prasanna Sattigeri, Manish Nagireddy, Subhro Das, Ameet Talwalkar, David Sontag

NeurIPS 2022 Bayesian Persuasion for Algorithmic Recourse Keegan Harris, Valerie Chen, Joon Kim, Ameet Talwalkar, Hoda Heidari, Steven Z. Wu

NeurIPS 2022 Use-Case-Grounded Simulations for Explanation Evaluation Valerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar

ICLR 2021 Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning Valerie Chen, Abhinav Gupta, Kenneth Marino

NeurIPSW 2021 Simulated User Studies for Explanation Evaluation Valerie Chen, Gregory Plumb, Nicholay Topin, Ameet Talwalkar

ICCVW 2019 Video-Text Compliance: Activity Verification Based on Natural Language Instructions Mayoore Jaiswal, H. Peter Hofstee, Valerie Chen, Suvadip Paul, Rogério Feris, Frank Liu, Anupama Jagannathan, Anne Gattiker, Inseok Hwang, Jinho Lee, Matthew Tong, Sahil Dureja, Soham Shah