Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Error-Conditioned Neural Solvers
Haina Jiang, Liam Wang, Peng-Chen Chen +4
Neural surrogate models offer fast approximate mappings from PDE parameters to solutions, but they typically treat solving as a purely statistical task: once trained, they struggle…
cs.LG2026
Mat-Pref: Verifiable-Reward Training Improves Compositional Reasoning in Inorganic Materials
Sarrah R. Mikhail Leung, Taehan Kim, Jeongbin Park
Reinforcement learning from verifiable rewards (RLVR) has driven rapid progress in mathematical and code reasoning, but when extended to science, existing benchmarks do not decompo…