most citedMixture of Prompt Learning for Vision Language Models

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cs.CL2026

ToolSearcher: Optimizing Tool Selection at Scale via Reinforcement Learning

Zhenlong Dai, Xujie Song, Zitong Wang +7

Large language models (LLMs) excel at natural language processing but struggle to interact with external environments. Tool learning provides a promising way to extend LLMs into ac…

cs.CL2024

Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learning

Tong Niu, Weihao Zhang, Rong Zhao

Agent-based models (ABMs) stand as an essential paradigm for proposing and validating hypothetical solutions or policies aimed at addressing challenges posed by complex systems and…