3 papers
cs.CL2026
Interlock: From Local Correctness to Task Completion in Long-Horizon Agents
Linji Hao, Yanji He, Zihan Wang +6
Large language model agents increasingly undertake long-horizon tasks in complex environments characterized by fragmented evidence, partially completed states, and dependencies acr…
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.AI2026
From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search
Junlin Liu, Jiangwang Chen, Zixin Song +7
Agentic search enables large language models to solve knowledge-intensive tasks by interleaving multi-step reasoning with retrieval, yet optimizing this with outcome-based reinforc…