Runzhe Yang

According to our database, Runzhe Yang authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

COLLIE: Systematic Construction of Constrained Text Generation Tasks.

Shunyu Yao, Howard Chen, Austin W. Hanjie, Runzhe Yang, Karthik R. Narasimhan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

DataMUX: Data Multiplexing for Neural Networks.

Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Improving Dialog Systems for Negotiation with Personality Modeling.

Runzhe Yang, Jingxiao Chen, Karthik Narasimhan

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Generating Strategic Dialogue for Negotiation with Theory of Mind.

Runzhe Yang, Jingxiao Chen, Karthik Narasimhan

CoRR, 2020

2019

A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation.

Runzhe Yang, Xingyuan Sun, Karthik Narasimhan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Imitation Refinement for X-ray Diffraction Signal Processing.

Junwen Bai, Zihang Lai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes

Proceedings of the IEEE International Conference on Acoustics, 2019

Unsupervised learning by a "softened" correlation game: duality and convergence.

Kyle L. Luther, Runzhe Yang, H. Sebastian Seung

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Imitation Refinement.

Junwen Bai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes

CoRR, 2018

2017

Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning.

Lu Chen, Xiang Zhou, Cheng Chang, Runzhe Yang, Kai Yu

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Affordable On-line Dialogue Policy Learning.

Cheng Chang, Runzhe Yang, Lu Chen, Xiang Zhou, Kai Yu

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

On-line Dialogue Policy Learning with Companion Teaching.

Lu Chen, Runzhe Yang, Cheng Chang, Zihao Ye, Xiang Zhou, Kai Yu

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017