DoLQ adds an LLM 'scientist' that judges candidate ODE terms both semantically and by numeric ablation, reporting the best structure recovery among the compared LLM-based ODE discovery methods.
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3 Pith papers cite this work, alongside 24 external citations. Polarity classification is still indexing.
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2026 3representative citing papers
BG-SINDy reformulates l0-constrained regression as term-level l2,0 regularization and uses progressive pruning guided by balance contributions to recover small-coefficient terms in multiscale PDEs.
A survey of reasoning language model adoption across 28 ERC scientific disciplines finds large maturity gaps, especially when only public resources are counted.
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Discovering Ordinary Differential Equations with LLM-Based Qualitative and Quantitative Evaluation
DoLQ adds an LLM 'scientist' that judges candidate ODE terms both semantically and by numeric ablation, reporting the best structure recovery among the compared LLM-based ODE discovery methods.
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Balance-Guided Sparse Identification of Multiscale Nonlinear PDEs with Small-coefficient Terms
BG-SINDy reformulates l0-constrained regression as term-level l2,0 regularization and uses progressive pruning guided by balance contributions to recover small-coefficient terms in multiscale PDEs.
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Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches
A survey of reasoning language model adoption across 28 ERC scientific disciplines finds large maturity gaps, especially when only public resources are counted.