AI RESEARCH
PEARL: Self-Evolving Assistant for Time Management with Reinforcement Learning
arXiv CS.CL
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ArXi:2601.11957v3 Announce Type: replace Overlapping calendar invitations force busy professionals to repeatedly decide which meetings to attend, reschedule, or decline. We refer to this preference-driven decision process as calendar conflict resolution. Automating this decision process is crucial yet challenging. Scheduling logistics can drain hours, and human delegation often fails at scale, which motivates us to ask: Can we trust large language models (LLMs) or language agents to manage time? To enable a systematic study of this question, we.