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cs.AI2026
Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs
Haotong Yang, Ting Long, Yi Chang
Tool learning enables LLMs to invoke external tools to accomplish tasks. Prior studies have demonstrated the effectiveness of a hierarchical structure: a high-level policy handles…
cs.LG2026
Target-Aligned Bellman Backup for Cross-domain Offline Reinforcement Learning
Wei Liu, Ting Long
Cross-domain offline reinforcement learning (CDRL) aims to improve policy learning in a target domain by leveraging data collected from a source domain. Existing works typically as…
cs.CL2026
Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem
Lichang Song, Ting Long, Yi Chang
Retrieval-Augmented Generation (RAG) has demonstrated strong effectiveness in knowledge-intensive tasks by grounding language generation in external evidence. Despite its success,…