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Min-Gu Lee

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#artificial intelligence Preprint Oct 2026

Surfing the Activation Wave: Analyzing the Information and Geometry of LLM Hidden States for Speculative Decoding

Decoder hidden states from different layers of large language models (LLMs) often encode complementary information. However, existing speculative decoding methods typically rely on a small set of target-model layers chosen using fixed, position-based heuristics. Selecting an optimal subset of layers is inherently a com...

Raghavv Goel, Sudhanshu Agrawal, Mukul Gagrani et al. · 0 citations
#artificial intelligence Preprint Sep 2026

ValueDiff: Value-Geometric KV Cache Eviction for Sink-Suppressed LLMs

ValueDiff, a value-geometric eviction that ranks tokens by the L2 deviation of their value vectors from the cache mean, is presented, and value geometry emerges as the more reliable query-invariant eviction signal for sink-suppressed models.

Junyoung Park, Jungwook Choi, Min-Gu Lee · 0 citations

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