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cs.LG2026
Splicing Hints into Reasoning Traces: Learning from Demonstrator Failures
Hamed Mahdavi, Pouria Mahdavinia, Majid Farhadi +1
Reinforcement learning with verifiable rewards improves mathematical reasoning when a final answer can be checked, but a correct answer does not certify the derivation behind it, a…
cs.LG2025
Harnessing Optimization Dynamics for Curvature-Informed Model Merging
Pouria Mahdavinia, Hamed Mahdavi, Niloofar Mireshghallah +1
Model merging is an effective post-training strategy for composing capabilities in large language models without joint retraining. We study this in the supervised fine-tuning (SFT)…