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cs.LG2026
How Architecture and Training Affect TPC Representations Across Experiments
Tyler Wheeler, Michelle P. Kuchera, Raghuram Ramanujan +12
Deep-learning efforts have increasingly shifted toward foundation model approaches. In experimental physics, this allows models and learned representations to be reused beyond the…
cs.LG2026
Forward versus Backward: Comparing Reasoning Objectives in Direct Preference Optimization
Murtaza Nikzad, Raghuram Ramanujan
Large language models exhibit impressive reasoning capabilities yet frequently generate plausible but incorrect solutions, a phenomenon commonly termed hallucination. This paper in…