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...