Jia-Yu Yao

According to our database, Jia-Yu Yao authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

Evidence Conflict Sampling for Open-set Active Learning.

Kun-Peng Ning, Hai-Jian Ke, Jia-Yu Yao, Yu-Yang Liu, Yong-Hong Tian, Li Yuan

Int. J. Comput. Vis., January, 2026

AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin.

Shuo Yang, Qihui Zhang, Yuyang Liu, Yue Huang, Xiaojun Jia, Kun-Peng Ning, Jia-Yu Yao, Jigang Wang, Hailiang Dai, Yibing Song, Li Yuan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

GPT as a Monte Carlo Language Tree: A Probabilistic Perspective.

Kun-Peng Ning, Jia-Yu Yao, Yu-Yang Liu, Munan Ning, Li Yuan

CoRR, January, 2025

PiCO: Peer Review in LLMs based on Consistency Optimization.

Kun-Peng Ning, Shuo Yang, Yuyang Liu, Jia-Yu Yao, Zhen-Hui Liu, Yonghong Tian, Yibing Song, Li Yuan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Is Parameter Collision Hindering Continual Learning in LLMs?

Shuo Yang, Kun-Peng Ning, Yu-Yang Liu, Jia-Yu Yao, Yong-Hong Tian, Yi-Bing Song, Li Yuan

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Sequential Cooperative Distillation for Imbalanced Multi-Task Learning.

Quan Feng, Jia-Yu Yao, Ming-Kun Xie, Sheng-Jun Huang, Songcan Chen

J. Comput. Sci. Technol., September, 2024

Sparse Orthogonal Parameters Tuning for Continual Learning.

Kun-Peng Ning, Hai-Jian Ke, Yu-Yang Liu, Jia-Yu Yao, Yonghong Tian, Li Yuan

CoRR, 2024

Peer-review-in-LLMs: Automatic Evaluation Method for LLMs in Open-environment.

Kun-Peng Ning, Shuo Yang, Yu-Yang Liu, Jia-Yu Yao, Zhen-Hui Liu, Yu Wang, Ming Pang, Li Yuan

CoRR, 2024

2023

LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples.

Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu, Munan Ning, Li Yuan

CoRR, 2023

Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning.

Ke Jiang, Jia-Yu Yao, Xiaoyang Tan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023