全新循环语言模型Ouro，开启潜在推理新范式，无需显式文本思考也能扩展推理能力。
arXiv:2510.25741v5 Announce Type: replace Abstract: Modern LLMs are trained to "think" primarily via explicit text generation, such as chain-of-though…
轻量级潜推理技术利用强化学习优化LLM生成推理轨迹，提升叙事类任务表现
arXiv:2512.02240v2 Announce Type: replace Abstract: Large language models (LLMs) tackle complex tasks by generating long chains of thought or "reasoni…
用几何潜在推理突破传统语言链，让LLM生成更短、更便宜且不牺牲准确性，重新定义推理效率。
arXiv:2606.02248v1 Announce Type: new Abstract: Large language models solve complex problems by generating lengthy chains of explicit reasoning tokens…
提出LaSR模型，用潜在推理机制提升语音识别的上下文感知能力，突破传统方法局限
arXiv:2606.00507v1 Announce Type: new Abstract: Recent advances in Speech Large Language Models (Speech LLMs) have significantly enhanced spoken langu…
把文本思维链渲染成图像，让大模型通过视觉潜在推理实现更高效的思考，ACL 2026主会收录的新范式。
arXiv:2601.14750v4 Announce Type: replace-cross Abstract: Chain-of-Thought (CoT) prompting has achieved remarkable success in unlocking the reasoning …
引入潜在推理机制实现更高效鲁棒的AI安全护栏，降低计算开销。
arXiv:2605.29068v1 Announce Type: new Abstract: Maintaining the safety of large language models (LLMs) is crucial as they are increasingly deployed in…
医学多模态大模型研究新突破：VITAL通过视觉-语义双监督增强潜在推理，提升可解释性与诊断准确性。
arXiv:2605.28422v1 Announce Type: cross Abstract: Latent reasoning enables reasoning over continuous hidden states rather than explicit tokens, avoidi…
提出ATLAS方法，用单个词统一智能体和潜在视觉推理，突破中间状态计算瓶颈
arXiv:2605.15198v1 Announce Type: cross Abstract: Visual reasoning, often interleaved with intermediate visual states, has emerged as a promising dire…