Jingyu Hu

According to our database, Jingyu Hu authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

2026

StakeBench: Evaluating Language Understanding Grounded in Market Commitment.

Yunhua Pei, Jingyu Hu, Yiwei Shi, Hongnan Ma, Weiru Liu, John Cartlidge

CoRR, May, 2026

Influencing LLM Multi-Agent Dialogue via Policy-Parameterized Prompts.

Hongbo Bo, Jingyu Hu, Weiru Liu

CoRR, March, 2026

Failing on Bias Mitigation: Investigating Why Predictive Models Struggle with Government Data.

Hongbo Bo, Jingyu Hu, Debbie Watson, Weiru Liu

CoRR, January, 2026

AutoMonitor-Bench: Evaluating the Reliability of LLM-Based Misbehavior Monitor.

Shu Yang, Jingyu Hu, Tong Li, Hanqi Yan, Wenxuan Wang, Di Wang

CoRR, January, 2026

Failing on Bias Mitigation: A Case Study on the Challenges of Fairness in Government Data.

Hongbo Bo, Jingyu Hu, Debbie Watson, Weiru Liu

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

Fine-Grained Interpretation of Political Opinions in Large Language Models.

Jingyu Hu, Mengyue Yang, Mengnan Du, Weiru Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MONICA: Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models.

Jingyu Hu, Shu Yang, Xilin Gong, Hongming Wang, Weiru Liu, Di Wang

CoRR, November, 2025

Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning.

Jingyu Hu, Hongbo Bo, Jun Hong, Xiaowei Liu, Weiru Liu

CoRR, June, 2025

Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering.

Yiwei Shi, Jingyu Hu, Yu Zhang, Mengyue Yang, Weinan Zhang, Cunjia Liu, Weiru Liu

CoRR, January, 2025

Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability.

Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Lu Cheng, Mengnan Du

CoRR, January, 2025

Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability.

Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Ali Payani, Lu Cheng, Mengnan Du

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

2024

Interpretable Machine Learning for Weather and Climate Prediction: A Survey.

Ruyi Yang, Jingyu Hu, Zihao Li, Jianli Mu, Tingzhao Yu, Jiangjiang Xia, Xuhong Li, Aritra Dasgupta, Haoyi Xiong

CoRR, 2024

Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning.

Jingyu Hu, Weiru Liu, Mengnan Du

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups.

Jingyu Hu, Jun Hong, Mengnan Du, Weiru Liu

Proceedings of the 2nd Workshop on Fairness and Bias in AI co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

2023

An Interactive XAI Interface with Application in Healthcare for Non-experts.

Jingyu Hu, Yizhu Liang, Weiyu Zhao, Kevin McAreavey, Weiru Liu

Proceedings of the Explainable Artificial Intelligence, 2023