A network-based framework that links cognitive skills, LLM architectures, and datasets, ushering in a paradigm shift in foundation model analysis and suggests that effective fine-tuning strategies should leverage distributed learning dynamics rather than rigid modular interventions.
K. Bhandari, Pin-Yu Chen, Jian-Xi Gao· arXiv.org· 0 citations
Production multi-agent systems replace agents constantly, on the assumption that an agent filling a role is interchangeable with any other agent that can do the job, and agents are more fungible in task outcome than in coordination efficiency, with larger swap effects after longer formation histories.
Jian-Xi Gao, Tian-Yi Yu, Lin-Na Deng et al.· 1 citation
MirrorCraft is introduced, a paired benchmark for evaluating agents under hidden rule changes in Minecraft and provides a controlled setting for studying how agents use gameplay outcomes when the rules of the current world differ from familiar ones.
Jian-Xi Gao, Beini Hu, Run-Ze Li et al.· arXiv.org· 0 citations
TabRank is presented, a framework for training reasoning rerankers for Tabular Retrieval that generalizes effectively to multi-table reasoning and significantly improves performance across a variety of table retrieval datasets.
Adarsh Singh, K. Bhandari, Jianxi Gao et al.· arXiv.org· 0 citations
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