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#stochastic

A Coin Flip Per Token: Bernoulli Sparse Steering of Large Language Models

arXiv cs.LG · 2026-07-08 Cached

Introduces Stochastic Token Steering (STS) and Stochastic Block Steering (SBS) for LLM activation steering, which probabilistically gate steering signals per token or per sequence. Shows that steering only 50% of tokens recovers most of the dense-steering effect while preserving fluency, and that the behavioral outcome is rate-limited by cumulative signal dosage.

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#stochastic

Value-Aware Stochastic KV Cache Eviction for Reasoning Models

Hugging Face Daily Papers · 2026-06-02 Cached

VaSE is a training-free method for KV cache eviction that protects large-magnitude value states and introduces stochasticity to improve reasoning model accuracy under compression, outperforming existing methods.

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#stochastic

Thermocompute constant time inference [P]

Reddit r/MachineLearning · 2026-05-24 Cached

Thermocompute is a PyTorch emulator for thermodynamic probabilistic computing that enables neural network layers to achieve constant modeled physical time inference by exploiting parallel thermodynamic substrate, with immediate GPU-usable stochastic layers.

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