Jia-Yu Yao

4 papers · 2023–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) ❓ The Questioner

Venues

AAAI (1) COLING (1) ICLR (1) NeurIPS (1)

Top co-authors

Kun-Peng Ning (3) Shuo Yang (3) Li Yuan (3) Yuyang Liu (2) Yibing Song (2) Yue Huang (1) Xiaojun Jia (1) Yong-Hong Tian (1) Jigang Wang (1) Zhenhui Liu (1)

Research topics

Artificial Intelligence (4) Machine Learning (4) Core AI (3) Learning Types · Machine Learning (2) Optimization & Theory (2) Deep Learning (1) Reinforcement Learning (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Methods (1)

Keywords

large language model (2) catastrophic forgetting (1) offline reinforcement learning (1) inverse dynamics (1) unsupervised evaluation (1) low-rank adaptation (1) model ranking (1) parameter space (1) peer review (1) safety vulnerability (1) harmful behavior (1) language model safety (1) state distribution (1) parameter collision (1) task orthogonality (1) consistency optimization (1) out-of-sample state (1) state recovery (1) state distributional shift (1) continual learning (1)

Papers

AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin AAAI 2026 Is Parameter Collision Hindering Continual Learning in LLMs? COLING 2025 PiCO: Peer Review in LLMs based on Consistency Optimization ICLR 2025 Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning NeurIPS 2023