… Even advanced AI agents function on message exchange formats, successively exchanging messages with users, systems, with itself i.e. chain-of-thought and tools in a single stream of computation. …
Papers arxiv:2605.10267 IndustryBench: Probing the Industrial Knowledge Boundaries of LLMs Published on May 11 Submitted by Liang Ding Hiring https://liamding.cc/hiring.htm on May 13 1688 multimodal & industrial AI Authors: Songlin Bai , Xintong Wang , , , , , , , , , , , , , Liang Ding Abstract In… …
… By reframing deployment as an adaptive learning process, this work establishes a foundation for continually improving AI systems. …
… Moreover, FST-trained models remain closer to the base LLM up to 70% less KL divergence , resulting in less catastrophic forgetting than RL-training. …
… AI-generated summary Long-context large language models LLMs -for example, Gemini-3.1-Pro and Qwen-3.5-are widely used to empower many real-world applications, such as retrieval-augmented generation, autonomous agents, and AI assistants. …
… This is one facet of metacognition -- the ability to be aware of one's own uncertainty and to act on it. For direct interaction, acting on uncertainty means communicating it honestly; for agentic systems, it becomes the control layer governing when to search and what to trust. …
… The following papers were recommended by the Semantic Scholar API EnterpriseLab: A Full-Stack Platform for developing and deploying agents in Enterprises 2026 AgentProcessBench: Diagnosing Step-Level Process Quality in Tool-Using Agents 2026 AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-A… …
Papers arxiv:2605.12978 Useful Memories Become Faulty When Continuously Updated by LLMs Published on May 13 Submitted by Dylan on May 13 University of Illinois at Urbana-Champaign Authors: , , , , , , Abstract Recent agentic-memory systems that rely on consolidated memory from LLMs fail to improve … …
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… We present a systematic empirical study of HeavySkill across diverse domains. …