Teqi Hao

According to our database, Teqi Hao authored at least 7 papers between 2024 and 2026.

Collaborative distances:

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

2026

ArMA: Mitigating Catastrophic Forgetting using Attention-Regularized Model Averaging in Continual Fine-tuning Large Language Models.

Xihe Qiu, Leijun Cheng, Teqi Hao, Xiaoyu Tan

IEEE Trans. Artif. Intell., May, 2026

InterveneBench: Benchmarking LLMs for Intervention Reasoning and Causal Study Design in Real Social Systems.

Shaojie Shi, Zhengyu Shi, Lingran Zheng, Xinyu Su, Anna Xie, Bohao Lv, Rui Xu, Zijian Chen, Zhichao Chen, Guolei Liu, Naifu Zhang, Mingjian Dong, Zhuo Quan, Bohao Chen, Teqi Hao, Yuan Qi, Yinghui Xu, Libo Wu

CoRR, March, 2026

PRISM: Festina Lente Proactivity - Risk-Sensitive, Uncertainty-Aware Deliberation for Proactive Agents.

Yuxuan Fu, Xiaoyu Tan, Teqi Hao, Chen Zhan, Xihe Qiu

CoRR, February, 2026

2025

Reflective Personalization Optimization: A Post-hoc Rewriting Framework for Black-Box Large Language Models.

Teqi Hao, Xioayu Tan, Shaojie Shi, Yinghui Xu, Xihe Qiu

CoRR, November, 2025

MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models.

Teqi Hao, Xiaoyu Tan, Bin Li, Xuemin Wang, Chao Qu, Yinghui Xu, Xihe Qiu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Leave the Bias in Bias: Mitigating the Label Noise Effects in Continual Visual Instruction Fine-Tuning.

Xiaoyu Tan, Teqi Hao, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2024

Chain-of-LoRA: Enhancing the Instruction Fine-Tuning Performance of Low-Rank Adaptation on Diverse Instruction Set.

Xihe Qiu, Teqi Hao, Shaojie Shi, Xiaoyu Tan, Yu-Jie Xiong

IEEE Signal Process. Lett., 2024