3 papers
cs.AI2025
Don't Think Twice! Over-Reasoning Impairs Confidence Calibration
Romain Lacombe, Kerrie Wu, Eddie Dilworth
Large Language Models deployed as question answering tools require robust calibration to avoid overconfidence. We systematically evaluate how reasoning capabilities and budget affe…
cs.LG2023
Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning
Romain Lacombe, Andrew Gaut, Jeff He +2
Deep learning in computational biochemistry has traditionally focused on molecular graphs neural representations; however, recent advances in language models highlight how much sci…
cs.CV2023
Improving extreme weather events detection with light-weight neural networks
Romain Lacombe, Hannah Grossman, Lucas Hendren +1
To advance automated detection of extreme weather events, which are increasing in frequency and intensity with climate change, we explore modifications to a novel light-weight Cont…