AI Research
DecodeShare: Tracing the Shared Subspace of LLM Decode-Time Decisions
Large language models (LLMs) handle many tasks with one set of parameters, but under KV-cached inference it is unclear what task-general structure, if any, is used at decode time rather than during prefill. We propose DecodeShare, a protocol that identifies a low-dimensional subs...
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ArXiv CS.AI
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ArXiv CS.AI
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This research uncovers a critical, shared subspace within Large Language Models that operates specifically during decoding, distinct from prefill stages. Understanding and manipulating this subspace offers a potent new avenue for improving LLM performance and control.
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