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Valerie Chen

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

16

Venues

10

Active years

2019–2026

Best venue rank

A*

Where they publish

Papers

16 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLRECAP: An End-to-End Platform for Capturing, Replaying, and Analyzing AI-Assisted Programming Interactions.Keyu He, Qianou Ma, Valerie Chen, Wayne Chi, Tongshuang Wu
2026ACLScaling Collaborative Effort with Agents.Shannon Zejiang Shen, Valerie Chen, Ken Gu, Alexis Ross, Zixian Ma, Jillian Ross, Alex Gu, Chenglei Si, Wayne Chi, Andi Peng, Jocelyn J. Shen, Ameet Talwalkar, Tongshuang Wu, David A. Sontag
2026CHICode with Me or for Me? How Increasing AI Automation Transforms Developer Workflows.Valerie Chen, Ameet Talwalkar, Robert Brennan, Graham Neubig
2026CHIThird Workshop on Human-Centered Evaluation and Auditing of Language Models: AI Agents-in-the-Loop.Willem van der Maden, Wesley Hanwen Deng, Yu Lu Liu, Han Jiang, Valerie Chen, Haotian Li, Juho Kim, Q. Vera Liao, Wei Xu, Motahhare Eslami, Ziang Xiao
2026EACLCoding Agents with Multimodal Browsing are Generalist Problem Solvers.Aditya Bharat Soni, Boxuan Li, Xingyao Wang, Valerie Chen, Graham Neubig
2026IUIDeveloper Interaction Patterns with Proactive AI: A Five-Day Field Study.Nadine Kuo, Agnia Sergeyuk, Valerie Chen, Maliheh Izadi
2025AAAILearning Personalized Decision Support Policies.Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar
2025ACLWhen Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback.Jane Pan, Ryan Shar, Jacob Pfau, Ameet Talwalkar, He He, Valerie Chen
2025AIESWhy Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption.Rebecca Yu, Valerie Chen, Ameet Talwalkar, Hoda Heidari
2025CHINeed Help? Designing Proactive AI Assistants for Programming.Valerie Chen, Alan Zhu, Sebastian Zhao, Hussein Mozannar, David A. Sontag, Ameet Talwalkar
2025ICMLCopilot 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
2024AAAIOn the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.Kasun Amarasinghe, Kit T. Rodolfa, Srgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani
2023AIESAre Model Explanations Useful in Practice? Rethinking How to Support Human-ML Interactions.Valerie Chen
2021ICLRAsk Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning.Valerie Chen, Abhinav Gupta, Kenneth Marino
2020ICRATask-Aware Novelty Detection for Visual-based Deep Learning in Autonomous Systems.Valerie Chen, Man-Ki Yoon, Zhong Shao
2019DSNNovelty Detection via Network Saliency in Visual-Based Deep Learning.Valerie Chen, Man-Ki Yoon, Zhong Shao