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A field study of a desktop assistant, where renamers chose the revised reply far more often than default-name users on being treated as a person and having affect received, less robustly on willingness to continue, and neither judged it worse on task interference.
Inspired by the human cognitive planning process, HintNav-igator achieves state-of-the-art performance among open-source LLM agents, surpassing proprietary model Claude-3.5 Sonnet on the WebArena benchmark.
This work revisit expert selection from a representation perspective and identifies context incompleteness as a key bottleneck limiting effective expert specialization, proposing Multi-level Context Fusion MOE (MCF-MOE), a framework that constructs context-aware representations by integrating complementary signals from...
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