Yao, Weiran

16 publications

NeurIPS 2025 APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay Akshara Prabhakar, Zuxin Liu, Ming Zhu, Jianguo Zhang, Tulika Manoj Awalgaonkar, Shiyu Wang, Zhiwei Liu, Haolin Chen, Thai Quoc Hoang, Juan Carlos Niebles, Shelby Heinecke, Weiran Yao, Huan Wang, Silvio Savarese, Caiming Xiong
ICLR 2025 Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, R N Rithesh, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
ICLRW 2025 ToolScan: A Benchmark for Characterizing Errors in Tool-Use LLMs Shirley Kokane, Ming Zhu, Tulika Manoj Awalgaonkar, Jianguo Zhang, Akshara Prabhakar, Thai Quoc Hoang, Zuxin Liu, R N Rithesh, Liangwei Yang, Weiran Yao, Juntao Tan, Zhiwei Liu, Huan Wang, Juan Carlos Niebles, Shelby Heinecke, Caiming Xiong, Silvio Savarese
NeurIPS 2024 APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong
ICLRW 2024 Bolaa: Benchmarking and Orchestrating LLM Autonomous Agents Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, R N Rithesh, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese
ICML 2024 CaRiNG: Learning Temporal Causal Representation Under Non-Invertible Generation Process Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang
CLeaR 2024 Causal Layering via Conditional Entropy Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese, Huan Wang
PGM 2024 On the Unlikelihood of D-Separation Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Huan Wang, Caiming Xiong, Silvio Savarese
ICLRW 2024 REX: Rapid Exploration and eXploitation for AI Agents R N Rithesh, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese
ICLR 2024 Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, R N Rithesh, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese
ICLRW 2024 The Agent Ohana: Designing Unified Data and Training Pipeline for Effective Agent Learning Jianguo Zhang, Tian Lan, R N Rithesh, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Quoc Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Ming Zhu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong
ICLR 2023 PLOT: Prompt Learning with Optimal Transport for Vision-Language Models Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
NeurIPS 2023 Temporally Disentangled Representation Learning Under Unknown Nonstationarity Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang
ICLR 2022 Learning Temporally Causal Latent Processes from General Temporal Data Weiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, Kun Zhang
ICML 2022 Partial Disentanglement for Domain Adaptation Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
NeurIPS 2022 Temporally Disentangled Representation Learning Weiran Yao, Guangyi Chen, Kun Zhang