Jingyu Hu

17 papers A* 2Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
AutoMonitor-Bench: Evaluating the Reliability of LLM-Based Misbehavior Monitor.
CoRR
Shu Yang, Jingyu Hu, Tong Li, Hanqi Yan, Wenxuan Wang, Di Wang
2026 — conf
Failing on Bias Mitigation: A Case Study on the Challenges of Fairness in Government Data.
ICAART (4)
Hongbo Bo, Jingyu Hu, Debbie Watson, Weiru Liu
2026 J jnl
Failing on Bias Mitigation: Investigating Why Predictive Models Struggle with Government Data.
CoRR
Hongbo Bo, Jingyu Hu, Debbie Watson, Weiru Liu
2026 A* conf
Fine-Grained Interpretation of Political Opinions in Large Language Models.
AAAI
Jingyu Hu, Mengyue Yang, Mengnan Du, Weiru Liu
2026 J jnl
Influencing LLM Multi-Agent Dialogue via Policy-Parameterized Prompts.
CoRR
Hongbo Bo, Jingyu Hu, Weiru Liu
2025 J jnl
Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering.
CoRR
Yiwei Shi, Jingyu Hu, Yu Zhang, Mengyue Yang, Weinan Zhang, Cunjia Liu, Weiru Liu
2025 J jnl
Fine-Grained Interpretation of Political Opinions in Large Language Models.
CoRR
Jingyu Hu, Mengyue Yang, Mengnan Du, Weiru Liu
2025 — conf
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability.
EMNLP (Findings)
Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Ali Payani, Lu Cheng, Mengnan Du
2025 J jnl
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability.
CoRR
Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Lu Cheng, Mengnan Du
2025 J jnl
MONICA: Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models.
CoRR
Jingyu Hu, Shu Yang, Xilin Gong, Hongming Wang, Weiru Liu, Di Wang
2025 J jnl
Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning.
CoRR
Jingyu Hu, Hongbo Bo, Jun Hong, Xiaowei Liu, Weiru Liu
2024 J jnl
Interpretable Machine Learning for Weather and Climate Prediction: A Survey.
CoRR
Ruyi Yang, Jingyu Hu, Zihao Li, Jianli Mu, Tingzhao Yu, Jiangjiang Xia, Xuhong Li, Aritra Dasgupta, Haoyi Xiong
2024 — conf
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups.
AEQUITAS@ECAI
Jingyu Hu, Jun Hong, Mengnan Du, Weiru Liu
2024 J jnl
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups.
CoRR
Jingyu Hu, Jun Hong, Mengnan Du, Weiru Liu
2024 A* conf
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning.
EMNLP
Jingyu Hu, Weiru Liu, Mengnan Du
2024 J jnl
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning.
CoRR
Jingyu Hu, Weiru Liu, Mengnan Du
2023 — conf
An Interactive XAI Interface with Application in Healthcare for Non-experts.
xAI (1)
Jingyu Hu, Yizhu Liang, Weiyu Zhao, Kevin McAreavey, Weiru Liu