2 papers
cs.AI2026
ClawLoop: Self-Improving Agents via Harness-Native Training Loop
Hansi Yang, Linji Hao, Hongyan Hao +4
The rapid advancement of Large Language Models (LLMs) has driven their deployment toward general-purpose harness environments, where LLM-based agents operate in sandbox workspaces…
cs.LG2026
MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling
Ning Ding, Fangcheng Liu, Kyungrae Kim +4
Scaling Large Language Models (LLMs) typically relies on increasing the number of parameters or test-time computations to boost performance. However, these strategies are impractic…