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Lin-Ji Hao

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#artificial intelligence Review Oct 2026

Interlock: From Local Correctness to Task Completion in Long-Horizon Agents

Large language model agents increasingly undertake long-horizon tasks in complex environments characterized by fragmented evidence, partially completed states, and dependencies across resources and artifacts, and Interlock, a framework for task synthesis that represents each task as a typed completion graph is proposed...

Lin-Ji Hao, Yan-Ji He, Zi-Han Wang et al. · 0 citations
#artificial intelligence Preprint Oct 2026

ClawLoop: Self-Improving Agents via Harness-Native Training Loop

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 and interact directly with file systems and shells. While numerous post-training pipelines exist for tool-use agents, their counterparts for...

Han-Si Yang, Lin-Ji Hao, Hong-Yan Hao et al. · 0 citations

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