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cs.LG2026
MassSpecGym in the Wild: Uncovering and Correcting Evaluation Pitfalls in AI-Driven Molecule Discovery
Hongxuan Liu, Roman Bushuiev, Ivy Lightheart +12
Reliable benchmarking is critical for developing machine learning models for tandem mass spectrometry (MS/MS) based molecule discovery. Subtle issues in experimental design and mod…
cs.LG2026
SpecBridge: Bridging Mass Spectrometry and Molecular Representations via Cross-Modal Alignment
Yinkai Wang, Yan Zhou Chen, Xiaohui Chen +2
Small-molecule identification from tandem mass spectrometry (MS/MS) remains a bottleneck in untargeted settings where spectral libraries are incomplete. While deep learning offers…