Entailment-licensed elision reduces LLM output length by trimming tokens during decoding while preserving content better than simple truncation.
Read the original at arxiv.org→arXiv:2611.08975v1 Announce Type: new Abstract: Instruction-tuned large language models (LLMs) answer at greater length than a request needs. We ask whether a training-free controller inside the decoding loop can...
Original headline: "Beyond Truncation? Entailment-Licensed Elision and the Limits of Semantic Preservation in LLM Decoding"
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- Nov 9, 05:00 UTC arXiv cs.CL lead source Beyond Truncation? Entailment-Licensed Elision and the Limits of Semantic Preservation in LLM Decoding