MerchantBench: Benchmarking LLM Agents for Long-Term Coherence in E-Commerce Operations
英文标题：MerchantBench: Benchmarking LLM Agents for Long-Term Coherence in E-Commerce Operations
arXiv:2607.28956v1 Announce Type: new Abstract: Large language model agents are increasingly evaluated as autonomous tool users, yet most benchmarks focus on bounded tasks with immediate success criteria. Real-world deployments often require Long-Term Coherence, the capacity to preserve purposeful
打开原文相关 3.2 · 机会 2
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:2607.28956v1 Announce Type: new Abstract: Large language model agents are increasingly evaluated as autonomous tool users, yet most benchmarks focus on bounded tasks with immediate success criteria. Real-world deployments often require Long-Term Coherence, the capacity to preserve purposeful
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
×