Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task Allocation
英文标题：Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task Allocation
arXiv:2607.09600v1 Announce Type: new Abstract: Enhancing the reasoning capabilities of large language model (LLM) agents requires effective orchestration of diverse expert models and tools. However, existing frameworks typically call APIs based on coarse-grained matching between tasks and the func
打开原文相关 4.8 · 机会 3
2.6 KB
2.1 KB
612 B
380 B
9.1 KB
32.7 KB
22.8 KB
24.2 KB
34.7 KB
中文
arXiv:2607.09600v1 Announce Type: new Abstract: Enhancing the reasoning capabilities of large language model (LLM) agents requires effective orchestration of diverse expert models and tools. However, existing frameworks typically call APIs based on coarse-grained matching between tasks and the func
中文全文翻译正在补齐，可先查看下方英文原文。
English / 原文
BibTeX formatted citation
×