Chen, Yangyi

11 publications

TMLR 2025 Scaling Laws for Predicting Downstream Performance in LLMs Yangyi Chen, Binxuan Huang, Yifan Gao, Zhengyang Wang, Jingfeng Yang, Heng Ji

ICML 2025 SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering Xuehang Guo, Xingyao Wang, Yangyi Chen, Sha Li, Chi Han, Manling Li, Heng Ji

TMLR 2024 A Single Transformer for Scalable Vision-Language Modeling Yangyi Chen, Xingyao Wang, Hao Peng, Heng Ji

ICLR 2024 CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji

CVPR 2024 DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran

ICML 2024 Executable Code Actions Elicit Better LLM Agents Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji

ICLRW 2024 Executable Code Actions Elicit Better LLM Agents Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji

ICLR 2024 MINT: Evaluating LLMs in Multi-Turn Interaction with Tools and Language Feedback Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji

NeurIPS 2023 Revisiting Out-of-Distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, FangYuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun

NeurIPS 2022 A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun

NeurIPS 2022 Moderate-Fitting as a Natural Backdoor Defender for Pre-Trained Language Models Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu