408 citations · 481 across the 6 of their papers we have counts for
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cs.LG2026
Training Language Models to Fail Gracefully
Daman Arora, Xuecheng Liu, Himanshu Gaurav Singh +6
Reinforcement learning makes language models better at solving tasks, but the same mechanism also rewards guessing. When success is the only way to earn reward, opting for a safe f…
cs.LG2023★ 19 cited
ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
Sungduk Yu, Zeyuan Hu, Akshay Subramaniam +44
Modern climate projections lack adequate spatial and temporal resolution due to computational constraints, leading to inaccuracies in representing critical processes like thunderst…