Lane Extraction and Quality Evaluation: A Hough Transform Based Approach. - Xingyao Wang 002; Da Yan 001; Ke Chen; Yancong Deng; Cheng Long 001; Kunlin Zhang; Sibo Yan (MIPR, 2020)

An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog. - Xingyao Wang 002; David Jurgens (EMNLP (Findings), 2021)

Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters. - Shaohuai Shi; Xianhao Zhou; Shutao Song; Xingyao Wang 002; Zilin Zhu; Xue Huang; Xinan Jiang; Feihu Zhou; Zhenyu Guo; Liqiang Xie; Rui Lan; Xianbin Ouyang; et al. (MLSys, 2021)

POTATO: The Portable Text Annotation Tool. - Jiaxin Pei; Aparna Ananthasubramaniam; Xingyao Wang 002; Naitian Zhou; Apostolos Dedeloudis; Jackson Sargent; David Jurgens (EMNLP (Demos), 2022)

Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language. - Xingyao Wang 002; Sha Li; Heng Ji 001 (CoRR, 2022)

Code4Struct: Code Generation for Few-Shot Event Structure Prediction. - Xingyao Wang 002; Sha Li; Heng Ji 001 (ACL (1), 2023)

Making Pre-trained Language Models both Task-solvers and Self-calibrators. - Yangyi Chen; Xingyao Wang 002; Heng Ji 001 (ACL (Findings), 2023)

ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. - Yangyi Chen; Xingyao Wang 002; Manling Li; Derek Hoiem; Heng Ji 001 (EMNLP, 2023)

Defining a New NLP Playground. - Sha Li; Chi Han; Pengfei Yu; Carl Edwards; Manling Li; Xingyao Wang 002; Yi Ren Fung 001; Charles Yu; Joel R. Tetreault; Eduard H. Hovy; Heng Ji 001 (EMNLP (Findings), 2023)

R-Tuning: Teaching Large Language Models to Refuse Unknown Questions. - Hanning Zhang; Shizhe Diao; Yong Lin; Yi R. Fung 001; Qing Lian; Xingyao Wang 002; Yangyi Chen; Heng Ji 001; Tong Zhang 001 (CoRR, 2023)

Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown. - Genglin Liu; Xingyao Wang 002; Lifan Yuan; Yangyi Chen; Hao Peng 009 (CoRR, 2023)

SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. - Tianyang Xu; Shujin Wu; Shizhe Diao; Xiaoze Liu; Xingyao Wang 002; Yangyi Chen; Jing Gao 004 (EMNLP, 2024)

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. - Xingyao Wang 002; Zihan Wang 010; Jiateng Liu; Yangyi Chen; Lifan Yuan; Hao Peng 009; Heng Ji 001 (ICLR, 2024)

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. - Lifan Yuan; Yangyi Chen; Xingyao Wang 002; Yi Fung 001; Hao Peng 009; Heng Ji 001 (ICLR, 2024)

Executable Code Actions Elicit Better LLM Agents. - Xingyao Wang 002; Yangyi Chen; Lifan Yuan; Yizhe Zhang 002; Yunzhu Li; Hao Peng 009; Heng Ji 001 (ICML, 2024)

LETI: Learning to Generate from Textual Interactions. - Xingyao Wang 002; Hao Peng 009; Reyhaneh Jabbarvand; Heng Ji 001 (NAACL-HLT (Findings), 2024)

R-Tuning: Instructing Large Language Models to Say 'I Don't Know'. - Hanning Zhang; Shizhe Diao; Yong Lin; Yi R. Fung 001; Qing Lian; Xingyao Wang 002; Yangyi Chen; Heng Ji 001; Tong Zhang 001 (NAACL-HLT, 2024)

If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents. - Ke Yang; Jiateng Liu; John Wu; Chaoqi Yang; Yi R. Fung 001; Sha Li; Zixuan Huang 001; Xu Cao; Xingyao Wang 002; Yiquan Wang; Heng Ji 001; Chengxiang Zhai (CoRR, 2024)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Jia Deng; Boji Shan; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; Bowen Zhou 002; et al. (CoRR, 2024)

Text-Based Reasoning About Vector Graphics. - Zhenhailong Wang; Joy Hsu; Xingyao Wang 002; Kuan-Hao Huang; Manling Li; Jiajun Wu 001; Heng Ji 001 (CoRR, 2024)

OpenDevin: An Open Platform for AI Software Developers as Generalist Agents. - Xingyao Wang 002; Boxuan Li; Yufan Song; Frank F. Xu; Xiangru Tang; Mingchen Zhuge; Jiayi Pan; Yueqi Song; Bowen Li 002; Jaskirat Singh; Hoang H. Tran; Fuqiang Li; et al. (CoRR, 2024)

Training Software Engineering Agents and Verifiers with SWE-Gym. - Jiayi Pan; Xingyao Wang 002; Graham Neubig; Navdeep Jaitly; Heng Ji 001; Alane Suhr; Yizhe Zhang 002 (CoRR, 2024)

A Single Transformer for Scalable Vision-Language Modeling. - Yangyi Chen; Xingyao Wang 002; Hao Peng 009; Heng Ji 001 (Trans. Mach. Learn. Res., 2024)

LocAgent: Graph-Guided LLM Agents for Code Localization. - Zhaoling Chen; Robert Tang; Gangda Deng; Fang Wu; Jialong Wu 010; Zhiwei Jiang; Viktor K. Prasanna; Arman Cohan; Xingyao Wang 002 (ACL (1), 2025)

OpenHands: An Open Platform for AI Software Developers as Generalist Agents. - Xingyao Wang 002; Boxuan Li; Yufan Song; Frank F. Xu; Xiangru Tang; Mingchen Zhuge; Jiayi Pan; Yueqi Song; Bowen Li 002; Jaskirat Singh; Hoang H. Tran; Fuqiang Li; et al. (ICLR, 2025)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Boji Shan; Zeyuan Liu; Jia Deng; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; et al. (ICLR, 2025)

Visually Descriptive Language Model for Vector Graphics Reasoning. - Zhenhailong Wang; Joy Hsu; Xingyao Wang 002; Kuan-Hao Huang; Manling Li; Jiajun Wu 001; Heng Ji 001 (Trans. Mach. Learn. Res., 2025)

SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering. - Xuehang Guo; Xingyao Wang 002; Yangyi Chen; Sha Li; Chi Han; Manling Li; Heng Ji 001 (CoRR, 2025)

The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks. - Alejandro Cuadron; Dacheng Li; Wenjie Ma; Xingyao Wang 002; Yichuan Wang; Siyuan Zhuang; Shu Liu; Luis Gaspar Schroeder; Tian Xia; Huanzhi Mao; Nicholas Thumiger; Aditya Desai; et al. (CoRR, 2025)

LocAgent: Graph-Guided LLM Agents for Code Localization. - Zhaoling Chen; Xiangru Tang; Gangda Deng; Fang Wu; Jialong Wu 010; Zhiwei Jiang; Viktor K. Prasanna; Arman Cohan; Xingyao Wang 002 (CoRR, 2025)

Coding Agents with Multimodal Browsing are Generalist Problem Solvers. - Aditya Bharat Soni; Boxuan Li; Xingyao Wang 002; Valerie Chen; Graham Neubig (CoRR, 2025)