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Chenxin Diao

2 accepted papers

2025

From an LLM Swarm to a PDDL-empowered Hive: Planning Self-executed Instructions in a Multi-modal Jungle

ICLR 2025poster

In response to the call for agent-based solutions that leverage the ever-increasing capabilities of the deep models' ecosystem, we introduce a comprehensive solution for selecting appropriate models and subsequently planning a set of atomic actions to satisfy the end-users' instructions. Our system…

Cited by 0SourcePDFScholar
2025

GeAR: Graph-enhanced Agent for Retrieval-augmented Generation

ACL 2025finding

Retrieval-augmented Generation (RAG) relies on effective retrieval capabilities, yet traditional sparse and dense retrievers inherently struggle with multi-hop retrieval scenarios. In this paper, we introduce G\small{E}\normalsize{AR}, a system that advances RAG performance through two key innovatio…