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Showing 1 to 2 of 2 for “"Deterministic Search"”.
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Probabilistic Inference for Inference Time Scaling of Language Models
… a pivot to scaling test-time compute. Existing deterministic inference-time scaling methods, usually with reward models, cast the task as a search problem, but suffer from a key limitation: early pruning. Due to inherently imperfect reward models, promising trajectories may be discarded …
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Statistical problems with deterministic reinforcement learning and small sample biases
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms