Guangya Wan

According to our database, Guangya Wan authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

Mind AI's Mind: A Clinically Aligned Explainable AI Pipeline for Depression Diagnosis via Large Language Models.

Yuqi Wu, Guangya Wan, Rachael Dong, Iman Z. Kassam, Brittany C. Wiseman, Judith Rho, Nicole Graziano, Xihua Wang, Yanbo Zhang, Jie Chen

IEEE Trans. Affect. Comput., 2026

COMPASS: Enhancing Agent Long-Horizon Reasoning with Evolving Context.

Guangya Wan, Mingyang Ling, Xiaoqi Ren, Rujun Han, Sheng Li, Zizhao Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

BEACON: Bayesian Optimal Stopping for Efficient LLM Sampling.

Guangya Wan, Zixin Stephen Xu, Sasa Zorc, Manel Baucells, Mengxuan Hu, Hao Wang, Sheng Li

CoRR, October, 2025

MedGUIDE: Benchmarking Clinical Decision-Making in Large Language Models.

Xiaomin Li, Mingye Gao, Yuexing Hao, Taoran Li, Guangya Wan, Zihan Wang, Yijun Wang

CoRR, May, 2025

Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English.

Runtao Zhou, Guangya Wan, Saadia Gabriel, Sheng Li, Alexander J. Gates, Maarten Sap, Thomas Hartvigsen

CoRR, March, 2025

ProAI: Proactive Multi-Agent Conversational AI with Structured Knowledge Base for Psychiatric Diagnosis.

Yuqi Wu, Guangya Wan, Jingjing Li, Shengming Zhao, Lingfeng Ma, Tianyi Ye, Ion Pop, Yanbo Zhang, Jie Chen

CoRR, February, 2025

Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling.

Guangya Wan, Yuqi Wu, Jie Chen, Sheng Li

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Large Language Models for Causal Discovery: Current Landscape and Future Directions.

Guangya Wan, Yunsheng Lu, Yuqi Wu, Mengxuan Hu, Sheng Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Derailer-Rerailer: Adaptive Verification for Efficient and Reliable Language Model Reasoning.

Guangya Wan, Yuqi Wu, Hao Wang, Shengming Zhao, Jie Chen, Sheng Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Dynamic Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling.

Guangya Wan, Yuqi Wu, Jie Chen, Sheng Li

CoRR, 2024

CoT Rerailer: Enhancing the Reliability of Large Language Models in Complex Reasoning Tasks through Error Detection and Correction.

Guangya Wan, Yuqi Wu, Jie Chen, Sheng Li

CoRR, 2024

Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions.

Guangya Wan, Yuqi Wu, Mengxuan Hu, Zhixuan Chu, Sheng Li

CoRR, 2024

2023

Fair admission risk prediction with proportional multicalibration.

William G. La Cava, Elle Lett, Guangya Wan

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Proportional Multicalibration.

William G. La Cava, Elle Lett, Guangya Wan

CoRR, 2022