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cs.LG2026
Inverse Reasoning Models for Efficient Post-Training and Verification from Answer-Only Data
Eric O. Korman
Post-training reasoning LLMs often requires making a tradeoff between costly supervision and compute inefficiency: supervised finetuning typically requires reasoning traces, which…
cs.LG2021
Atlas Based Representation and Metric Learning on Manifolds
Eric O. Korman
We explore the use of a topological manifold, represented as a collection of charts, as the target space of neural network based representation learning tasks. This is achieved by…