Li Li
9 indexed papers
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The paper proposes Arbiter-K, a Governance-First execution architecture that treats LLMs as probabilistic units encapsulated by a deterministic kernel, significantly improving the security and reliability of agentic AI systems.
The paper proposes R-CoT, a reasoning-layer watermarking framework that embeds ownership watermarks directly into the stable reasoning path of LLMs, achieving high robustness against perturbations.
This paper introduces RoboNaldo, a three-stage motion-guided curriculum RL framework for humanoid soccer shooting.
The paper proposes a framework called RaMem to improve the validity of retrieved memories in long-term memory systems for LLM agents.
A framework called OptDetect is presented to detect compiler optimization problems in mobile app binaries without source code or build metadata.
This paper studies the problem of retrospectively reconstructing commit history from squashed patches, and evaluates different methods using a benchmark dataset.
This paper introduces StructureClaw, an artifact-centered workbench for evaluating structural-engineering agents, and presents StructureClaw-Bench, an executable benchmark for testing these agents.
This paper presents SpecBox, a runtime system for LLM agents that uses speculative sandbox preallocation to improve resource utilization and reduce interactive tail latency.
This paper proposes a framework for personalized fashion recommendations that models direct and indirect user and item relationships.