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fog: Expressing Motion and Emotion through Function Composition of AI-Generated Code
Vivian Liu
,
Lydia B. Chilton
arXiv 2026
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PersonaJudge: Simulating Individual Human Preference Judgments with Evaluator-Specific Demonstration Data
Zeyu He
,
Xuan Qi
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Subramanian Chidambaram
,
Zhichao Xu
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Vinayak Arannil
,
Lydia Chilton
,
Alex C. Williams
arXiv 2026
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Latent Cache Flow: Model-to-Model Communication Without Text
Maximillian Rossi
,
Prajwal Raghunath
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Eugene Wu
AdaptFM Workshop at ICML 2026
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Outrunning LLM Cutoffs: A Live Kernel Crash Resolution Benchmark for All
Chenxi Huang
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Alex Mathai
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Feiyang Yu
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Aleksandr Nogikh
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Petros Maniatis
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Franjo Ivancic
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Eugene Wu
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Kostis Kaffes
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Junfeng Yang
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Baishakhi Ray
ICML 2026
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LAKEQA: An Exploratory QA Benchmark over a Million-Scale Data Lake
Haonan Wang*
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Jiaxiang Liu*
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Yurong Liu
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Austin Senna Wijaya
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Tianle Zhou
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Eden Wu
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Yijia Chen
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Wanting You
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Reya Vir
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Daniela Pinto Veizaga
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Grace Fan
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Yusen Zhang
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Juliana Freire
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Eugene Wu
ICML 2026
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BranchBench: An Extensible Benchmark for Agentic Database Branching
Elaine Ang
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Kostis Kaffes
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Eugene Wu
CAIS Workshop 2026
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Behavior Cloning is Not All You Need: The Optimality of On-Policy Distillation for Noisy Expert Feedback
Ved Sriraman
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Peihan Liu
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Daniel Hsu
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Adam Block
ICML 2026 Workshop on Decision-Making from Offline Datasets to Online Adaptation: Black-Box Optimization to Reinforcement Learning
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OSWorld2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks
Mengqi Yuan
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Zilong Zhou
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Xinzhuang Xiong
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Weiming Wu
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Jiayang Sun
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Jiamin Song
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Kaiqian Cui
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Bowen Wang
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Haoyuan Wu
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Yitong Li
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Dunjie Lu
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Haikong Lu
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Qi Zhen
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Xinyuan Wang
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Jiaqi Deng
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Yuhao Yang
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Cheng Chen
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Boyuan Zheng
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Alex Su
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Xiao Yu
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Hao Zou
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Saaket Agashe
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Xing Han Lu
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Manpreet Kaur
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Zhengyang Qi
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Vincent Sunn Chen
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Frederic Sala
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Dayiheng Liu
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Junyang Lin
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Zhou Yu
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Yu Su
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Siva Reddy
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Xin Eric Wang
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Peng Qi
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Tianbao Xie
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Tao Yu
arXiv 2026
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Invisible Impact of Empathy on Behavioral Change: Isolating the Effect of Empathy in Long-term Physical Activity Coaching Chatbot Interactions
Li Siyan
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Kai-Hui Liang
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Shopnil Shahriar
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Yilin Ye
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Shiyoh Goetsu
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Wei-Wei Du
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Masahiro Yoshida
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Tsunayuki Ohwa
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Xuhai Xu
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Zhou Yu
arXiv 2026
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GIF: Locally Sound Geometric Information Flow Control for LLMs
Adam Storek
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Nikolaus Holzer
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Zhuo Zhang
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Suman Jana
arXiv 2026
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Skills for the Future Software Profession: Beyond Agentic AI!
Sungmin Kang
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Baishakhi Ray
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Abhik Roychoudhury
arXiv 2026
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MortarBench: Evaluating Mortgage Loan Origination Agents
Matthew Toles
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Yunan Lu
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Manav Munjal
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Bojun Liu
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Yuanhao Deng
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Stephanie Selig
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Derek Rindner
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Cheng Li
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Zhou Yu
arXiv 2026
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Detect, Remask, Repair: Diffusion Editing for Faithful Summarization of Evolving Contexts
Hao Zou
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Zachary Horvitz
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Chandhru Karthick
,
Zhou Yu
,
Kathleen McKeown
arXiv 2026
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Fixed Universal Transformer
Jingwen Liu
,
Alexandr Andoni
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Daniel Hsu
Mechanistic Interpretability Workshop at ICML 2026
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VISTA: A Versatile Interactive User Simulation Toolkit for Agent Evaluation
Yunan Lu
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Ryan Shea
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Yusen Zhang
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Zhou Yu
arXiv 2026
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Data Flow Control: Data Safety Policies for AI Agents
Charlie Summers
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Eugene Wu
arXiv 2026
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SANA: What Matters for QA Agents over Massive Data Lakes?
Austin Senna Wijaya
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Jiaxiang Liu
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Haonan Wang
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Eugene Wu
arXiv 2026
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Orchard: An Open-Source Agentic Modeling Framework
Baolin Peng
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Wenlin Yao
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Qianhui Wu
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Hao Cheng
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Xiao Yu
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Rui Yang
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Tao Ge
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Alessandro Sordoni
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Xingdi Yuan
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Yelong Shen
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Pengcheng He
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Tong Zhang
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Zhou Yu
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Jianfeng Gao
arXiv 2026
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AutoRPA: Efficient GUI Automation through LLM-Driven Code Synthesis from Interactions
Minghao Chen
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Xinyi Hu
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Zhou Yu
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Yufei Yin
ICML 2026
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Detecting Privilege Escalation in Polyglot Microservices via Agentic Program Analysis
Penghui Li
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Hong Yau Chong
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Yinzhi Cao
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Junfeng Yang
IEEE S&P 2026
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PQR: A Framework to Generate Diverse and Realistic User Queries that Elicit QA Agent Failures
Yunan Lu
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Luigi Liu
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Omar Yahia
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Arpit Sharma
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Zhou Yu
arXiv 2026
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Orchard: An Open-Source Agentic Modeling Framework
Baolin Peng
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Wenlin Yao
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Qianhui Wu
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Hao Cheng
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Xiao Yu
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Rui Yang
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Tao Ge
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Alessandro Sordoni
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Xingdi Yuan
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Yelong Shen
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Pengcheng He
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Tong Zhang
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Zhou Yu
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Jianfeng Gao
arXiv 2026
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SemaTune: Semantic-Aware Online OS Tuning with Large Language Models
Georgios Liargkovas
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Mihir Nitin Joshi
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Hubertus Franke
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Kostis Kaffes
arXiv 2026
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Conversational Customization of Productivity Systems: A Design Probe of Malleable AI Interfaces
Karthik Sreedhar
,
Aryan Kaul
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Lydia Chilton
arXiv 2026
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ScarfBench: A Benchmark for Cross-Framework Application Migration in Enterprise Java
Advait Pavuluri
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Bridget McGinn
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Ashita Saxena
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George Safta
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Srikanth Tamilselvam
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Raju Pavuluri
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Michele Merler
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Baishakhi Ray
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Rahul Krishna
arXiv 2026
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Panprediction: optimal predictions for any downstream task and loss
Sivaraman Balakrishnan
,
Nika Haghtalab
,
Daniel Hsu
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Brian Lee
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Eric Zhao
AISTATS 2026
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Prior makes it possible: from sublinear graph algorithms to LLM test-time methods
Avrim Blum
,
Daniel Hsu
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Cyrus Rashtchian
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Donya Saless
AISTATS 2026
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Your Compiler is Backdooring Your Model: Understanding and Exploiting Compilation Inconsistency Vulnerabilities in Deep Learning Compilers
Simin Chen
,
Jinjun Peng
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Yixin He
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Junfeng Yang
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Baishakhi Ray
IEEE S&P 2026
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Estimating Tail Risks in Language Model Output Distributions
Rico Angell
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Raghav Singhal
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Zachary Horvitz
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Zhou Yu
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Rajesh Ranganath
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Kathleen McKeown
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He He
ICML 2026
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BranchBench: Aligning Database Branching with Agentic Demands
Elaine Ang
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Sam Weldon
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In Keun Kim
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Kevin Durand
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Kostis Kaffes
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Eugene Wu
arXiv 2026
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MIND: Empowering Mental Health Clinicians with Multimodal Data Insights through a Narrative Dashboard
Ruishi Zou
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Shiyu Xu
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Margaret E Morris
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Jihan Ryu
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Timothy D. Becker
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Nicholas Allen
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Anne Marie Albano
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Randy Auerbach
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Dan Adler
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Varun Mishra
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Lace Padilla
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Dakuo Wang
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Ryan Sultan
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Xuhai Orson Xu
CHI 2026
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More than Decision Support: Exploring Patients' Longitudinal Usage of Large Language Models in Real-World Healthcare-Seeking Journeys
Yancheng Cao
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Yishu Ji
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Chris Yue Fu
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Sahiti Dharmavaram
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Meghan Turchioe
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Natalie C Benda
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Lena Mamykina
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Yuling Sun
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Xuhai Orson Xu
CHI 2026
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VineLM: Trie-Based Fine-Grained Control for Agentic Workflows
Nikos Pagonas
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Matthew Lou
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Tianyi Peng
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Dan Rubenstein
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Kostis Kaffes
arXiv 2026
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SYN-DIGITS: A Synthetic Control Framework for Calibrated Digital Twin Simulation
Grace Jiarui Fan
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Chengpiao Huang
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Tianyi Peng
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Kaizheng Wang
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Yuhang Wu
arXiv 2026
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AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agents
Wenyue Hua
,
Sripad Karne
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Qian Xie
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Armaan Agrawal
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Nikos Pagonas
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Kostis Kaffes
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Tianyi Peng
arXiv 2026
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Quantifying Trust: Financial Risk Management for Trustworthy AI Agents
Wenyue Hua
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Tianyi Peng
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Chi Wang
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Jiaxin Pei
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Ian Kaufman
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Bryan Lim
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Chandler Fang
arXiv 2026
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Agentic Data Environments
Elaine Ang
,
Chenxi Huang
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Georgios Liargkovas
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Jerry Liu
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Jinhui Liu
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Nikos Pagonas
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Charlie Summers
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Haonan Wang
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Jiakai Xu
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Tianle Zhou
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Yusen Zhang
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Zhou Yu
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Zhuo Zhang
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Tianyi Peng
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Kostis Kaffes
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Eugene Wu
IEEE Data Bulletin 2026
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Coherence Collapse: Diagnosing Why Code Agents Fail After Reaching the Right Code
Myeongsoo Kim
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Dingmin Wang
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Siwei Cui
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Farima Farmahinifarahani
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Terry Yue Zhuo
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Shweta Garg
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Baishakhi Ray
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Rajdeep Mukherjee
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Varun Kumar
arXiv 2026
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Human-Data Interaction, Exploration, and Visualization in the AI Era: Challenges and Opportunities
Jean-Daniel Fekete
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Yifan Hu
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Dominik Moritz
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Arnab Nandi
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Senjuti Basu Roy
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Eugene Wu
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Nikos Bikakis
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George Papastefanatos
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Panos K. Chrysanthis
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Guoliang Li
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Lingyun Yu
SIGMOD Record 2026
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Group-realizable multi-group learning by minimizing empirical risk
Navid Ardeshir
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Samuel Deng
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Daniel Hsu
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Jingwen Liu
ALT 2026
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Trustworthy AI Software Engineers
Aldeida Aleti
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Baishakhi Ray
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Rashina Hoda
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Simin Chen
arXiv 2026
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Please Don't Kill My Vibe: Empowering Agents with Data Flow Control
Charlie Summers
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Haneen Mohammed
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Eugene Wu
CIDR 2026
Slides
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LLM Generated Persona is a Promise with a Catch
Ang Li
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Haozhe Chen
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Hongseok Namkoong
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Tianyi Peng
NeurIPS 2025 Position Paper
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Agents for Web Testing: A Case Study in the Wild
Naimeng Ye
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Xiao Yu
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Ruize Xu
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Tianyi Peng
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Zhou Yu
LAw Workshop at NeurIPS 2025
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Data Mixture Optimization: A Multi-Fidelity Multi-Scale Bayesian Framework
Tzu-Ching Yen
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Andrew Wei Tung Siah
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Haozhe Chen
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C. Daniel Guetta
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Tianyi Peng
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Hongseok Namkoong
NeurIPS 2025
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Tail-Optimized Caching for LLM Inference
Wenxin Zhang
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Yueying Li
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Ciamac C. Moallemi
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Tianyi Peng
NeurIPS 2025
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Multi-Agent Markov Entanglement
Shuze Chen
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Tianyi Peng
NeurIPS 2025 (Spotlight)
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Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper
Xinyue Zhu*
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Binghao Huang*
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Yunzhu Li
NeurIPS 2025
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Q-learning with Posterior Sampling
Priyank Agrawal
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Shipra Agrawal
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Azmat Azati
NeurIPS 2025
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RAISE: Reliable Agent Improvement via Simulated Experience
Sahar Omidi Shayegan
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Joshua Meyer
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Victor Shih
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Sebastian Sosa
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Tianyi Peng
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Kostis Kaffes
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Eugene Wu
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Andi Partovi
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Mehdi Jamei
NeurIPS 2025 (SEA Workshop)
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LLM Agents for Always-On Operating System Tuning
Georgios Liargkovas
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Vahab Jabrayilov
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Hubertus Franke
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Kostis Kaffes
NeurIPS 2025
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Fast attention mechanisms: a tale of parallelism
Jingwen Liu
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Hantao Yu
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Clayton Sanford
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Alexandr Andoni
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Daniel Hsu
NeurIPS 2025
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A Decade of Systems for Human Data Interaction
Eugene Wu
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Yiru Chen
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Haneen Mohammed
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Zezhou Huang
ArXiV 2025
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SAGE: A Top-Down Bottom-Up Knowledge-Grounded User Simulator for Multi-turn AGent Evaluation
Ryan Shea
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Yunan Lu
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Liang Qiu
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Zhou Yu
EACL 2026
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Set It and Forget It: Zero-Mod ML Magic for Linux Tuning
Georgios Liargkovas
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Prabhpreet Singh Sodhi
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Kostis Kaffes
PACMI Workshop at SOSP 2025
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Cortex: Workflow-Aware Resource Pooling and Scheduling for Agentic Serving
Nikos Pagonas
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Yeounoh Chung
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Kostis Kaffes
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Arvind Krishnamurthy
SAA Workshop at SOSP 2025
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Toward Systems Foundations for Agentic Exploration
Jiakai Xu
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Tianle Zhou
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Eugene Wu
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Kostis Kaffes
SAA Workshop at SOSP 2025
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Do Spammers Dream of Electric Sheep? Characterizing the Prevalence of LLM-Generated Malicious Emails
Wei Hao
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Van Tran
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Vincent Rideout
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Zixi Wang
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AnMei Dasbach-Prisk
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M. H. Afifi
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Junfeng Yang
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Ethan Katz-Bassett
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Grant Ho
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Asaf Cidon
IMC 2025
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PickleBall: Secure Deserialization of Pickle-based Machine Learning Models
Andreas Kellas
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Neophytos Christou
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Wenxin Jiang
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Penghui Li
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Laurent Simon
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Yaniv David
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Vasileios P. Kemerlis
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James C. Davis
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Junfeng Yang
CCS 2025
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The Anatomy of a Personal Health Agent
A. Ali Heydari
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Ken Gu
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Vidya Srinivas
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Hong Yu
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Zhihan Zhang
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Yuwei Zhang
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Akshay Paruchuri
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Qian He
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Hamid Palangi
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Nova Hammerquist
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Ahmed A. Metwally
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Brent Winslow
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Yubin Kim
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Kumar Ayush
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Yuzhe Yang
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Girish Narayanswamy
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Maxwell A. Xu
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Jake Garrison
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Amy Armento Lee
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Jenny Vafeiadou
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Ben Graef
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Isaac R. Galatzer-Levy
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Erik Schenck
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Andrew Barakat
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Javier Perez
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Jacqueline Shreibati
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John Hernandez
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Anthony Z. Faranesh
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Javier L. Prieto
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Connor Heneghan
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Yun Liu
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Jiening Zhan
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Mark Malhotra
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Shwetak Patel
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Tim Althoff
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Xin Liu
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Daniel McDuff
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Xuhai Orson Xu
arXiv 2025
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Suna: Scalable Causal Confounder Discovery over Relational Data
Jiaxiang Liu
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Siyuan Xia
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Daniel Alabi
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Eugene Wu
VLDB 2025
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EditLord: Learning Code Transformation Rules for Code Editing
Weichen Li
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Albert Jan
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Baishakhi Ray
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Chengzhi Mao
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Junfeng Yang
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Kexin Pei
ICML 2025
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Learning to Rewrite: Generalized LLM-Generated Text Detection
Ran Li
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Wei Hao
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Weiliang Zhao
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Junfeng Yang
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Chengzhi Mao
ACL 2025
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Performance of LLMs on Stochastic Modeling Operations Research Problems: From Theory to Practice.
Akshit Kumar
,
Tianyi Peng
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Yuhang Wu
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Assaf Zeevi
Winter Simulation Conference 2025
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Prompt Editor: A Taxonomy-driven System for Guided LLM Prompt Development in Enterprise Settings
Jeffery Cao
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Lampros Flokas
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Yujian Xu
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Eugene Wu
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Xu Chu
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Cong Yu
SIGMOD Demo 2025
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Towards a Framework for Optimizing Hierarchical Text Segmentation using LLMs
Lampros Flokas
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Jeffrey Cao
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Yujian Xu
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Eugene Wu
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Xu Chu
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Cong Yu
DEEM Workshop at SIGMOD 2025
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Position Paper: A System-Centric Approach is Necessary for AI Agents
Nikos Pagonas
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Haonan Wang
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Jiaxiang Liu
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Tianle Zhou
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Deepak Dastrala
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Raman Jatkar
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Anirudh Sivaraman
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Zhou Yu
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Kostis Kaffes
,
Eugene Wu
arXiv 2025
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Twin-2K-500: A dataset for building digital twins of over 2,000 people based on their answers to over 500 questions
Olivier Toubia
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George Z. Gui
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Tianyi Peng
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Daniel J. Merlau
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Ang Li
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and Haozhe Chen
Marketing Science
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Diversity Helps Jailbreak Large Language Models
Weiliang Zhao
,
Daneil Ben-Levi
,
Wei Hao
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Junfeng Yang
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Chengzhi Mao
NAACL 2025
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CrashFixer: A Crash Resolution Agent for the Linux Kernel
Alex Mathai
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Chenxi Huang
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Suwei Ma
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Jihwan Kim
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Hailie Mitchell
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Aleksandr Nogikh
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Petros Maniatis
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Franjo Ivančić
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Junfeng Yang
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Baishakhi Ray
Arxiv 2025
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FeedQUAC: Quick Unobtrusive Agent-Generated Commentary
Tao Long
,
Kendra Wannamaker
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Jo Vermeulen
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George Fitzmaurice
,
Justin Matejka
arXiv 2025
-
Steering Semantic Data Processing With DocWrangler
Shreya Shankar
,
Bhavya Chopra
,
Mawil Hasan
,
Stephen Lee
,
Bjoern Hartmann
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Joseph Hellerstein
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Aditya Parameswaran
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Eugene Wu
UIST 2025
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Throughput-Optimal Scheduling Algorithms for LLM Inference and AI Agents
Yueying Li
,
Jim Dai
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Tianyi Peng
Arxiv 2025
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AgentDynEx: Nudging the Mechanics and Dynamics of Multi-Agent Simulations
Jenny Ma
,
Riya Sahni
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Karthik Sreedhar
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Lydia Chilton
Under Submission
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DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing
Shreya Shankar
,
Tristan Chambers
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Tarak Shah
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Aditya G. Parameswaran
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Eugene Wu
VLDB 2025
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Program Synthesis Dialog Agents for Interactive Decision-Making
Matthew Toles
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Nikhil Balwani
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Rattandeep Singh
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Valentina Giulia Sartori Rodriguez
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Zhou Yu
arXiv 2025
-
How Well do LLMs Compress their Own Chain-of-Thought? A Token Complexity Approach
Ayeong Lee
,
Ethan Che
,
Tianyi Peng
ICML, Efficient Systems for Foundation Models Workshop 2025
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ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu
,
Baolin Peng
,
Vineeth Vajipey
,
Hao Cheng
,
Michel Galley
,
Jianfeng Gao
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Zhou Yu
ICLR 2025
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AnimationAgents: A Multi-Modal Team of Agents for Generating, Debugging, and Human Editing of Animation Code
Vivian Liu
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Rubaiat Habib Kazi
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Li-Yi Wei
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Matthew Fisher
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Timothy Langlois
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Seth Walker
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Lydia Chilton
CHI 2025
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ACE: A LLM Agent-based Negotiation Coaching System
Ryan Shea
,
Aymen Kallala
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Xin Lucy Liu
,
Michael W. Morris
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Zhou Yu
EMNLP 2024
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Fast Userspace Networking for the Rest of Us
Alireza Sanaee
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Vahab Jabrayilov
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Ilias Marinos
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Anuj Kalia
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Divyanshu Saxena
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Prateesh Goyal
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Kostis Kaffes
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Gianni Antichi
arXiv 2025
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DynEx: Agentic Assistance to Bridge Design and Code
Jenny Ma
,
Karthik Sreedhar
,
Vivian Liu
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Pedro Alejandro Perez
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Sitong Wang
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Riya Sahni
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Lydia Chilton
CHI 2025
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DietGlance: dietary monitoring and personalized analysis at a glance with knowledge-empowered AI assistant
Zhihan Jiang
,
Running Zhao
,
Lin Lin
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Yue Yu
,
Handi Chen
,
Xinchen Zhang
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Xuhai Orson Xu
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Yifang Wang
,
Xiaojuan Ma
,
Edith CH Ngai
ACM HEALTH
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Data Cleaning Using Large Language Models
Shuo Zhang
,
Zezhou Huang
,
Eugene Wu
DAIS Workshop at ICDE 2025
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Alexpaca: Learning Factual Clarification Question Generation Without Examples
Matthew Toles
,
Yukun Huang
,
Zhou Yu
,
Luis Gravano
GEM^2 Workshop at ACL 2025
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KGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution
Alex Mathai
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Chenxi Huang
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Petros Maniatis
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Aleksandr Nogikh
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Franjo Ivančić
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Junfeng Yang
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Baishakhi Ray
NeurIPS 2024
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Simulating Cooperative Prosocial Behavior with Multi-Agent LLMs
Karthik Sreedhar
,
Alice Cai
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Jenny Ma
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Jeffrey V. Nickerson
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Lydia Chilton
IUI 2025
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Law-Abiding Agents: Demonstrating Safe Tax Preparation with Data Flow Control
Charlie Summers
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Prajwal Raghunath
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Zhibin Shen
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Hardik Gupta
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Eric Choi
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Mayur Kulkarni
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Sally Go
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Peter Yu
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Akriti Agarwal
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Zhuo Zhang
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Oliver Kennedy
,
Eugene Wu
Preprint 2026