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Explicitly enumerating skills in-context doesn't scale for agentic LLMs, but retrieving skills on demand can substantially improve performance – if the LLM can figure out when and which skill to load.
LLMs still struggle to learn effectively from user feedback during service, as revealed by a new benchmark spanning multiple domains and languages.
LLMs still struggle to synthesize coherent scientific surveys, as evidenced by a new benchmark revealing significant performance gaps even with advanced agentic frameworks.
