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cs.CR2026
Agent Harness Distillation: Inference-Time Harness Extraction and Exploitation in Autonomous Multi-Agent Systems
Yu Cui, Wuli Yang, Yirui Shi +4
Autonomous multi-agent systems (AMAS) built on large language models (LLMs), such as Hermes, increasingly rely on inference-time harnesses to coordinate reasoning and action. Const…
cs.CR2024★ 1 cited
A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism
Zhiyu Chen, Yu Li, Suochao Zhang +4
As Large Language Models (LLMs) gain great success in real-world applications, an increasing number of users are seeking to develop and deploy their customized LLMs through cloud s…