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arXiv:2511.00606v1 Announce Type: new Abstract: Speculative decoding has become the standard approach for accelerating Large Language Model (LLM) inference. It...
arXiv:2511.00020v1 Announce Type: cross Abstract: In the current digital commerce landscape, user-generated reviews play a critical role in shaping consumer...
arXiv:2510.26521v2 Announce Type: replace Abstract: Diacritics restoration in Hebrew is a fundamental task for ensuring accurate word pronunciation and disambiguating...
arXiv:2505.10446v3 Announce Type: replace Abstract: We introduce the Diffusion Chain of Lateral Thought (DCoLT), a reasoning framework for diffusion language...
arXiv:2510.27568v1 Announce Type: cross Abstract: Solving mathematical reasoning problems requires not only accurate access to relevant knowledge but also careful,...
arXiv:2506.00413v2 Announce Type: replace Abstract: The generation speed of LLMs are bottlenecked by autoregressive decoding, where tokens are predicted sequentially...
arXiv:2510.27469v1 Announce Type: new Abstract: In recent years, large language models (LLMs) have witnessed remarkable advancements, with the test-time scaling...
Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think....
How do you tell whether a model is actually noticing its own internal state instead of just repeating what training...
Digging for clues about the North Pole’s past
DiFlow-TTS: Discrete Flow Matching with Factorized Speech Tokens for Low-Latency Zero-Shot Text-To-Speech
Diffusion Language Models Know the Answer Before Decoding
Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning
Different Perturbations, Different Mechanisms: Understanding Continued Pre-training for Zero-Shot Dialect Robustness
Did You Forget What I Asked? Prospective Memory Failures in Large Language Models
