Researchers note input length directly affects activation sparsity, call for sequence-compression methods
antoine_chaffin · x · 2026-09-29
antoinechaffin and a collaborator discuss activation sparsity in LLMs, noting it is well established that input sequence length directly affects sparsity. He floats an open research idea: a method that reduces sequence embedding length without hurting the underlying representations.
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