Jia-Yu Yao

12 papers A* 3B 1Journal 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin.
AAAI
Shuo Yang, Qihui Zhang, Yuyang Liu, Yue Huang, Xiaojun Jia, Kun-Peng Ning, Jia-Yu Yao, Jigang Wang, Hailiang Dai, Yibing Song, Li Yuan
2026 J jnl
Evidence Conflict Sampling for Open-set Active Learning.
Int. J. Comput. Vis.
Kun-Peng Ning, Hai-Jian Ke, Jia-Yu Yao, Yu-Yang Liu, Yong-Hong Tian, Li Yuan
2025 J jnl
AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin.
CoRR
Shuo Yang, Qihui Zhang, Yuyang Liu, Yue Huang, Xiaojun Jia, Kun-Peng Ning, Jia-Yu Yao, Jigang Wang, Hailiang Dai, Yibing Song, Li Yuan
2025 J jnl
GPT as a Monte Carlo Language Tree: A Probabilistic Perspective.
CoRR
Kun-Peng Ning, Jia-Yu Yao, Yu-Yang Liu, Munan Ning, Li Yuan
2025 B conf
Is Parameter Collision Hindering Continual Learning in LLMs?
COLING
Shuo Yang, Kun-Peng Ning, Yu-Yang Liu, Jia-Yu Yao, Yong-Hong Tian, Yi-Bing Song, Li Yuan
2025 A* conf
PiCO: Peer Review in LLMs based on Consistency Optimization.
ICLR
Kun-Peng Ning, Shuo Yang, Yuyang Liu, Jia-Yu Yao, Zhen-Hui Liu, Yonghong Tian, Yibing Song, Li Yuan
2024 J jnl
Is Parameter Collision Hindering Continual Learning in LLMs?
CoRR
Shuo Yang, Kun-Peng Ning, Yu-Yang Liu, Jia-Yu Yao, Yonghong Tian, Yi-Bing Song, Li Yuan
2024 J jnl
Peer-review-in-LLMs: Automatic Evaluation Method for LLMs in Open-environment.
CoRR
Kun-Peng Ning, Shuo Yang, Yu-Yang Liu, Jia-Yu Yao, Zhen-Hui Liu, Yu Wang, Ming Pang, Li Yuan
2024 J jnl
Sequential Cooperative Distillation for Imbalanced Multi-Task Learning.
J. Comput. Sci. Technol.
Quan Feng, Jia-Yu Yao, Ming-Kun Xie, Sheng-Jun Huang, Songcan Chen
2024 J jnl
Sparse Orthogonal Parameters Tuning for Continual Learning.
CoRR
Kun-Peng Ning, Hai-Jian Ke, Yu-Yang Liu, Jia-Yu Yao, Yonghong Tian, Li Yuan
2023 J jnl
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples.
CoRR
Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu, Munan Ning, Li Yuan
2023 A* conf
Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning.
NeurIPS
Ke Jiang, Jia-Yu Yao, Xiaoyang Tan