Showing cs.LGShow all
3 papers · 1 filter
cs.LG2025
Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary
Xinshun Feng, Mingzhe Liu, Yi Qiao +3
Recent advances in explainable recommendations have explored the integration of language models to analyze natural language rationales for user-item interactions. Despite their pot…
cs.LG2025
SERL: Self-Examining Reinforcement Learning on Open-Domain
Weixuan Ou, Yanzhao Zheng, Shuoshuo Sun +7
Reinforcement Learning (RL) has been shown to improve the capabilities of large language models (LLMs). However, applying RL to open-domain tasks faces two key challenges: (1) the…
cs.LG2025
Optimal Brain Iterative Merging: Mitigating Interference in LLM Merging
Zhixiang Wang, Zhenyu Mao, Yixuan Qiao +2
Large Language Models (LLMs) have demonstrated impressive capabilities, but their high computational costs pose challenges for customization. Model merging offers a cost-effective…