On-line Dialogue Policy Learning with Companion Teaching. - Lu Chen 002; Runzhe Yang; Cheng Chang; Zihao Ye; Xiang Zhou; Kai Yu 004 (EACL (2), 2017)

Affordable On-line Dialogue Policy Learning. - Cheng Chang; Runzhe Yang; Lu Chen 002; Xiang Zhou; Kai Yu 004 (EMNLP, 2017)

Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning. - Lu Chen 002; Xiang Zhou; Cheng Chang; Runzhe Yang; Kai Yu 004 (EMNLP, 2017)

Imitation Refinement. - Junwen Bai; Runzhe Yang; Yexiang Xue; John M. Gregoire; Carla P. Gomes (CoRR, 2018)

Unsupervised learning by a "softened" correlation game: duality and convergence. - Kyle L. Luther; Runzhe Yang; H. Sebastian Seung (ACSSC, 2019)

Imitation Refinement for X-ray Diffraction Signal Processing. - Junwen Bai; Zihang Lai; Runzhe Yang; Yexiang Xue; John M. Gregoire; Carla P. Gomes (ICASSP, 2019)

A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. - Runzhe Yang; Xingyuan Sun; Karthik Narasimhan (NeurIPS, 2019)

Generating Strategic Dialogue for Negotiation with Theory of Mind. - Runzhe Yang; Jingxiao Chen; Karthik Narasimhan (CoRR, 2020)

Improving Dialog Systems for Negotiation with Personality Modeling. - Runzhe Yang; Jingxiao Chen; Karthik Narasimhan (ACL/IJCNLP (1), 2021)

DataMUX: Data Multiplexing for Neural Networks. - Vishvak Murahari; Carlos E. Jimenez; Runzhe Yang; Karthik Narasimhan (NeurIPS, 2022)

COLLIE: Systematic Construction of Constrained Text Generation Tasks. - Shunyu Yao; Howard Chen 003; Austin W. Hanjie; Runzhe Yang; Karthik R. Narasimhan (ICLR, 2024)

LLMs are Superior Feedback Providers: Bootstrapping Reasoning for Lie Detection with Self-Generated Feedback. - Tanushree Banerjee; Richard Zhu; Runzhe Yang; Karthik Narasimhan (CoRR, 2024)