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ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment

ForeSci is introduced, a temporally controlled benchmark for evaluating whether LLM agents can make such forward-looking research judgements from historical evidence, and agent-based methods improve traceability over Hybrid RAG, while their gains in future-target alignment over native LLMs are modest and task dependent...

Qiu-Yu Tian, Hao Yin, Hang Su et al. · 1 citation

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