AI RESEARCH
Let the Agent Search: Autonomous Exploration Beats Rigid Workflows in Temporal Question Answering
arXiv CS.CL
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ArXi:2603.01853v2 Announce Type: replace Temporal Knowledge Graph Question Answering (TKGQA) is challenging because it requires multi-hop reasoning under complex temporal constraints. Recent LLM-based approaches have improved semantic modeling for this task, but many still rely on fixed reasoning workflows or costly post-