Next Thoughts Are Distributions: Generative Autoregressive Reasoning in the Latent Space
cs.AI
Submitted: 2026-09-27
Updated: 2026-09-27
Code: https://github.com/huggingface/open-r1
Terminology
Sources
- Large Concept Models: Language Modeling in a Sentence Representation Space
- Compressed Chain of Thought: Efficient Reasoning Through Dense Representations
- Training Verifiers to Solve Math Word Problems
- Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs
- Causal Diffusion Transformers for Generative Modeling
- Implicit Chain of Thought Reasoning via Knowledge Distillation
- SONAR: Sentence-Level Multimodal and Language-Agnostic Representations
- Think-at-Hard: Dynamic Looped Transformers for Improved Reasoning
- Training Large Language Models to Reason in a Continuous Latent Space
- Classifier-Free Diffusion Guidance
- LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
- Latent Thought Models with Variational Bayes Inference-Time Computation
- Flow-GRPO: Training Flow Matching Models via Online RL
- AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
- Mull-Tokens: Modality-Agnostic Latent Thinking
- Continuous Autoregressive Language Models
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation
- Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
- Multimodal Latent Language Modeling with Next-Token Diffusion
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