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GroundLM 2026

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Headlines · 1

  1. TRACE Report Shows Evidence Identity Gaps in Scientific QA

    A Juejin commentary reviews the TRACE system report and the LitTraceQA benchmark for AI scientific question answering. TRACE scored 0.7606 overall on 71 questions, with reported paper-retrieval F1 of 0.9728 and evidence-location F1 of 0.6847, while the report attributes its failures primarily to a “grounding contract gap” in intermediate representations. The review notes limitations including a small sample, incomplete reproducibility, and results that are specific to the benchmark and scorer.

    掘金 · 人工智能 · 🔥 0

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