Valerie Chen

64 papers A* 9A 1C 1Journal 46Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Rubric-Supervised Critic from Sparse Real-World Outcomes.
CoRR
Xingyao Wang, Valerie Chen, Heng Ji, Graham Neubig
2026 J jnl
Beyond the Commit: Developer Perspectives on Productivity with AI Coding Assistants.
CoRR
Valerie Chen, Jasmyn He, Behnjamin Williams, Jason Valentino, Ameet Talwalkar
2026 A* conf
Code with Me or for Me? How Increasing AI Automation Transforms Developer Workflows.
CHI
Valerie Chen, Ameet Talwalkar, Robert Brennan, Graham Neubig
2026 — conf
Coding Agents with Multimodal Browsing are Generalist Problem Solvers.
EACL (Findings)
Aditya Bharat Soni, Boxuan Li, Xingyao Wang, Valerie Chen, Graham Neubig
2026 J jnl
Comparing Developer and LLM Biases in Code Evaluation.
CoRR
Aditya Mittal, Ryan Shar, Zichu Wu, Shyam Agarwal, Tongshuang Wu, Chris Donahue, Ameet Talwalkar, Wayne Chi, Valerie Chen
2026 A conf
Developer Interaction Patterns with Proactive AI: A Five-Day Field Study.
IUI
Nadine Kuo, Agnia Sergeyuk, Valerie Chen, Maliheh Izadi
2026 J jnl
Developer Interaction Patterns with Proactive AI: A Five-Day Field Study.
CoRR
Nadine Kuo, Agnia Sergeyuk, Valerie Chen, Maliheh Izadi
2026 J jnl
GameDevBench: Evaluating Agentic Capabilities Through Game Development.
CoRR
Wayne Chi, Yixiong Fang, Arnav Yayavaram, Siddharth Yayavaram, Seth Karten, Qiuhong Anna Wei, Runkun Chen, Alexander Wang, Valerie Chen, Ameet Talwalkar, Chris Donahue
2026 J jnl
How Well Does Agent Development Reflect Real-World Work?
CoRR
Zora Zhiruo Wang, Sanidhya Vijayvargiya, Aspen Chen, Hanmo Zhang, Venu Arvind Arangarajan, Jett Chen, Valerie Chen, Diyi Yang, Daniel Fried, Graham Neubig
2026 J jnl
RCTs & Human Uplift Studies: Methodological Challenges and Practical Solutions for Frontier AI Evaluation.
CoRR
Patricia Paskov, Kevin Wei, Shen Zhou Hong, Dan Bateyko, Xavier Roberts-Gaal, Carson Ezell, Gailius Praninskas, Valerie Chen, Umang Bhatt, Ella Guest
2026 J jnl
SWE-Tester: Training Open-Source LLMs for Issue Reproduction in Real-World Repositories.
CoRR
Aditya Bharat Soni, Rajat Ghosh, Vaishnavi Bhargava, Valerie Chen, Debojyoti Dutta
2026 — conf
Third Workshop on Human-Centered Evaluation and Auditing of Language Models: AI Agents-in-the-Loop.
CHI Extended Abstracts
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
2025 J jnl
Beyond Memorization: Mapping the Originality-Quality Frontier of Language Models.
CoRR
Vishakh Padmakumar, Chen Yueh-Han, Jane Pan, Valerie Chen, He He
2025 J jnl
Code with Me or for Me? How Increasing AI Automation Transforms Developer Workflows.
CoRR
Valerie Chen, Ameet Talwalkar, Robert Brennan, Graham Neubig
2025 J jnl
Coding Agents with Multimodal Browsing are Generalist Problem Solvers.
CoRR
Aditya Bharat Soni, Boxuan Li, Xingyao Wang, Valerie Chen, Graham Neubig
2025 — conf
CodingGenie: A Proactive LLM-Powered Programming Assistant.
SIGSOFT FSE Companion
Sebastian Zhao, Alan Zhu, Hussein Mozannar, David A. Sontag, Ameet Talwalkar, Valerie Chen
2025 J jnl
CodingGenie: A Proactive LLM-Powered Programming Assistant.
CoRR
Sebastian Zhao, Alan Zhu, Hussein Mozannar, David A. Sontag, Ameet Talwalkar, Valerie Chen
2025 J jnl
Completion ≠ Collaboration: Scaling Collaborative Effort with Agents.
CoRR
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
2025 A* conf
Copilot Arena: A Platform for Code LLM Evaluation in the Wild.
ICML
Wayne Chi, Valerie Chen, Anastasios Nikolas Angelopoulos, Wei-Lin Chiang, Aditya Mittal, Naman Jain, Tianjun Zhang, Ion Stoica, Chris Donahue, Ameet Talwalkar
2025 J jnl
Copilot Arena: A Platform for Code LLM Evaluation in the Wild.
CoRR
Wayne Chi, Valerie Chen, Anastasios Nikolas Angelopoulos, Wei-Lin Chiang, Aditya Mittal, Naman Jain, Tianjun Zhang, Ion Stoica, Chris Donahue, Ameet Talwalkar
2025 J jnl
EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits.
CoRR
Wayne Chi, Valerie Chen, Ryan Shar, Aditya Mittal, Jenny Liang, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Ion Stoica, Graham Neubig, Ameet Talwalkar, Chris Donahue
2025 J jnl
How can we assess human-agent interactions? Case studies in software agent design.
CoRR
Valerie Chen, Rohit Malhotra, Xingyao Wang, Juan Michelini, Xuhui Zhou, Aditya Bharat Soni, Hoang H. Tran, Calvin Smith, Ameet Talwalkar, Graham Neubig
2025 A* conf
Learning Personalized Decision Support Policies.
AAAI
Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar
2025 A* conf
Need Help? Designing Proactive AI Assistants for Programming.
CHI
Valerie Chen, Alan Zhu, Sebastian Zhao, Hussein Mozannar, David A. Sontag, Ameet Talwalkar
2025 J jnl
TOM-SWE: User Mental Modeling For Software Engineering Agents.
CoRR
Xuhui Zhou, Valerie Chen, Zora Zhiruo Wang, Graham Neubig, Maarten Sap, Xingyao Wang
2025 J jnl
The OpenHands Software Agent SDK: A Composable and Extensible Foundation for Production Agents.
CoRR
Xingyao Wang, Simon Rosenberg, Juan Michelini, Calvin Smith, Hoang H. Tran, Engel Nyst, Rohit Malhotra, Xuhui Zhou, Valerie Chen, Robert Brennan, Graham Neubig
2025 J jnl
The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers.
Trans. Mach. Learn. Res.
Hussein Mozannar, Valerie Chen, Mohammed Alsobay, Subhro Das, Sebastian Zhao, Dennis Wei, Manish Nagireddy, Prasanna Sattigeri, Ameet Talwalkar, David A. Sontag
2025 — conf
When Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback.
ACL (Findings)
Jane Pan, Ryan Shar, Jacob Pfau, Ameet Talwalkar, He He, Valerie Chen
2025 J jnl
When Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback.
CoRR
Jane Pan, Ryan Shar, Jacob Pfau, Ameet Talwalkar, He He, Valerie Chen
2025 J jnl
Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption.
CoRR
Rebecca Yu, Valerie Chen, Ameet Talwalkar, Hoda Heidari
2024 J jnl
Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design.
Trans. Assoc. Comput. Linguistics
Lindia Tjuatja, Valerie Chen, Tongshuang Wu, Ameet Talwalkwar, Graham Neubig
2024 J jnl
Modulating Language Model Experiences through Frictions.
CoRR
Katherine M. Collins, Valerie Chen, Ilia Sucholutsky, Hannah Rose Kirk, Malak Sadek, Holli Sargeant, Ameet Talwalkar, Adrian Weller, Umang Bhatt
2024 J jnl
Need Help? Designing Proactive AI Assistants for Programming.
CoRR
Valerie Chen, Alan Zhu, Sebastian Zhao, Hussein Mozannar, David A. Sontag, Ameet Talwalkar
2024 A* conf
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.
AAAI
Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani
2024 J jnl
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans.
Trans. Mach. Learn. Res.
Giang (Dexter) Nguyen, Valerie Chen, Mohammad Reza Taesiri, Anh Totti Nguyen
2024 J jnl
The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers.
CoRR
Hussein Mozannar, Valerie Chen, Mohammed Alsobay, Subhro Das, Sebastian Zhao, Dennis Wei, Manish Nagireddy, Prasanna Sattigeri, Ameet Talwalkar, David A. Sontag
2023 J jnl
A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies.
CoRR
Ada Martin, Valerie Chen, Sérgio M. Jesus, Pedro Saleiro
2023 C conf
Are Model Explanations Useful in Practice? Rethinking How to Support Human-ML Interactions.
AIES
Valerie Chen
2023 J jnl
Assisting Human Decisions in Document Matching.
CoRR
Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B. Shah, Ameet Talwalkar
2023 J jnl
Assisting Human Decisions in Document Matching.
Trans. Mach. Learn. Res.
Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B. Shah, Ameet Talwalkar
2023 J jnl
Do LLMs exhibit human-like response biases? A case study in survey design.
CoRR
Lindia Tjuatja, Valerie Chen, Sherry Tongshuang Wu, Ameet Talwalkar, Graham Neubig
2023 — conf
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines.
EAAMO
Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt
2023 J jnl
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines.
CoRR
Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt
2023 J jnl
Learning Personalized Decision Support Policies.
CoRR
Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar
2023 J jnl
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans.
CoRR
Giang (Dexter) Nguyen, Valerie Chen, Mohammad Reza Taesiri, Anh Totti Nguyen
2023 J jnl
Perspectives on incorporating expert feedback into model updates.
Patterns
Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar
2023 J jnl
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations.
CoRR
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal
2023 J jnl
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations.
Proc. ACM Hum. Comput. Interact.
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal
2022 A* conf
Bayesian Persuasion for Algorithmic Recourse.
NeurIPS
Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu
2022 J jnl
Interpretable machine learning: moving from mythos to diagnostics.
Commun. ACM
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
2022 J jnl
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.
CoRR
Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani
2022 J jnl
Perspectives on Incorporating Expert Feedback into Model Updates.
CoRR
Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar
2022 A* conf
Use-Case-Grounded Simulations for Explanation Evaluation.
NeurIPS
Valerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar
2022 J jnl
Use-Case-Grounded Simulations for Explanation Evaluation.
CoRR
Valerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar
2021 A* conf
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning.
ICLR
Valerie Chen, Abhinav Gupta, Kenneth Marino
2021 J jnl
Bayesian Persuasion for Algorithmic Recourse.
CoRR
Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu
2021 J jnl
Interpretable Machine Learning: Moving from mythos to diagnostics.
ACM Queue
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
2021 J jnl
Towards Connecting Use Cases and Methods in Interpretable Machine Learning.
CoRR
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
2020 J jnl
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning.
CoRR
Valerie Chen, Abhinav Gupta, Kenneth Marino
2020 A* conf
Task-Aware Novelty Detection for Visual-based Deep Learning in Autonomous Systems.
ICRA
Valerie Chen, Man-Ki Yoon, Zhong Shao
2019 — conf
Novelty Detection via Network Saliency in Visual-Based Deep Learning.
DSN Workshops
Valerie Chen, Man-Ki Yoon, Zhong Shao
2019 J jnl
Novelty Detection via Network Saliency in Visual-based Deep Learning.
CoRR
Valerie Chen, Man-Ki Yoon, Zhong Shao
2019 J jnl
Secure Computation for Machine Learning With SPDZ.
CoRR
Valerie Chen, Valerio Pastro, Mariana Raykova
2019 — conf
Video-Text Compliance: Activity Verification Based on Natural Language Instructions.
ICCV Workshops
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