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SPIN Processed News Frame: The Cushion

Beyond Tokens: A Survey on Decoding Methods for Large Language and Vision-Language Models

A new arXiv survey paper synthesizes recent advances in inference-time decoding methods for LLMs and LVLMs, framing them as an efficient, scalable alternative to training-stage alignment techniques.

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arXiv Computation and Language

Aug 18, 2026

SPIN Processed News Frame: The Hype

Attention-Guided Layer Selection for Contrastive Decoding in Large Language Models

Researchers introduced three new attention-guided layer selection strategies for contrastive decoding in LLMs to improve factuality, outperforming DoLa on TruthfulQA multi-answer metrics.

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arXiv Computation and Language

Jul 28, 2026

SPIN Processed News Frame: The Hype

Adaptive Multi-Step Lookahead Decoding for Diffusion Language Models

Researchers introduced AdaLook, an adaptive multi-step lookahead decoding method for masked diffusion language models that dynamically adjusts rollout depth based on candidate-score variance to improve the accuracy–decoding steps trade-off.

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arXiv Computation and Language

Jul 20, 2026