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Frontier LLMs show widespread verbatim retrieval of molecular data, study finds

A new study published on arXiv investigates the phenomenon of "molecular déjà vu" in frontier language models, where models appear to retrieve published molecular property values verbatim rather than predicting them. The research found that this verbatim retrieval is widespread but varies significantly across different regression benchmarks. Interestingly, the rate of retrieval increased substantially when models were prompted with higher reasoning levels. The study also explored methods to interrupt this retrieval, suggesting that a model's general predictive capability is not solely determined by memorized values. AI

IMPACT This research highlights potential limitations in LLM evaluation, suggesting that current benchmarks may not fully capture true predictive capabilities due to memorization.

RANK_REASON The cluster contains an academic paper detailing research findings on language models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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Frontier LLMs show widespread verbatim retrieval of molecular data, study finds

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The cluster contains an academic paper detailing research findings on language models. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Matthias Busch, Marius Tacke, Sviatlana V. Lamaka, Mikhail L. Zheludkevich, Christian J. Cyron, Roland C. Aydin, Christian Feiler ·

    Molecular D\'ej\`a Vu: Digit-Level Retrieval of Published Values in Frontier Language Models

    arXiv:2609.05381v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly evaluated on molecular property benchmarks, but accuracy cannot distinguish a model that predicts a property from one that retrieves a published number. We audit 22 frontier models on 12…