Scientific figures are the interface through which research claims are inspected and reused, but final published panels rarely expose the data or plotting code that produced them. Recovering this hidden provenance from pixels is therefore underdetermined. We introduce SciFigure2Code, an AI-reconstructed benchmark that...
Wen-Tao Li, Yi-Bo Wu, Yi-Zhe Chen et al.· 0 citations
Learning materials properties from scarce labels and unlabeled crystals is a central challenge for data-driven materials discovery. We present SemiMat, a controlled benchmark for semi-supervised materials property regression, and MatRank, a reliability-weighted objective for continuous pseudo-label uncertainty. SemiMat...
Wen-Tao Li, Yi-Zhe Chen, Jiang-Jie Qiu et al.· 0 citations
CoMPASS is presented, a retrieval-calibrated framework for small-large model collaboration that retains a graph attention network as the predictive anchor, retrieves locally relevant training molecules, provides attention-grounded evidence to an LLM, and converts its proposal into a bounded correction through an agreem...
Wen-Tao Li, Jiang-Jie Qiu, Yi-Jun Li et al.· 0 citations
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