2 papers
cs.IR2026
Beyond Retrieval: Learning Compact User Representations for Scalable LLM Personalization
Heng Cao, Fan Zhang, Jian Yao +8
Personalizing large language models requires adapting model behavior to individual users while preserving robustness and deployment-scale efficiency. Existing approaches typically…
cs.AI2026
SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning
Jian Yao, Xiongcai Luo, Ran Cheng +1
Recent advances in Large Reasoning Models have significantly improved chain-of-thought (CoT) capabilities via reinforcement learning (RL). However, generated reasoning chains frequ…