Improving extreme weather events detection with light-weight neural networks. - Romain Lacombe; Hannah Grossman; Lucas Hendren; David Lüdeke (CoRR, 2023)

Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning. - Romain Lacombe; Andrew Gaut; Jeff He; David Lüdeke; Kateryna Pistunova (CoRR, 2023)

ClimateX: Do LLMs Accurately Assess Human Expert Confidence in Climate Statements? - Romain Lacombe; Kerrie Wu; Eddie Dilworth (CoRR, 2023)

AdsorbRL: Deep Multi-Objective Reinforcement Learning for Inverse Catalysts Design. - Romain Lacombe; Lucas Hendren; Khalid El-Awady (CoRR, 2023)

Accelerating the Generation of Molecular Conformations with Progressive Distillation of Equivariant Latent Diffusion Models. - Romain Lacombe; Neal Vaidya (CoRR, 2024)

Non-Canonical Crosslinks Confound Evolutionary Protein Structure Models. - Romain Lacombe (CoRR, 2025)

Don't Think Twice! Over-Reasoning Impairs Confidence Calibration. - Romain Lacombe; Kerrie Wu; Eddie Dilworth (CoRR, 2025)