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Sampling several responses and voting over their answers can improve a language model's accuracy, but repeated answers limit the benefit of additional samples. Raising temperature increases diversity at a potential cost to per-sample accuracy. We introduce Self-Repulsion (SR), a sampler for masked diffusion language mo...
Riemannian Constrained Optimization (RCO) is proposed, which wraps tangent projection, binary-search retraction, and momentum transport around a standard Adam step and optimizes the actual loss with first-order methods, enforces the expected budget exactly at every iterate, and introduces no constraint-related hyperpar...
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