SciFigure2Code is introduced, an AI-reconstructed benchmark that instead evaluates presentation recovery: generating editable Python programs that preserve how a scientific panel is arranged and read, and provides an auditable testbed for agents that construct editable, visually faithful scientific figure presentations...
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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