Imagen de Portada

Reasoning in Diffusion Large Language Models is Concentrated in Dynamic Confusion Zones

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Ranfei, Chen, Ming, Wang, Kaifei
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

DSFT: Inspiring Diffusion Large Language Models to Comprehend Mathematical and Logical Patterns
por: Chen, Ranfei, et al.
Publicado: (2025)

Muon in Associative Memory Learning: Training Dynamics and Scaling Laws
por: Li, Binghui, et al.
Publicado: (2026)

Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models
por: Sui, Yuan, et al.
Publicado: (2025)

Decoding Large Language Diffusion Models with Foreseeing Movement
por: Mo, Yichuan, et al.
Publicado: (2025)

Large Language Models as Analogical Reasoners
por: Yasunaga, Michihiro, et al.
Publicado: (2023)

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
por: Zhu, Kaijie, et al.
Publicado: (2023)

Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them
por: Chen, Guanyu, et al.
Publicado: (2025)

TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models
por: Choo, Jinho, et al.
Publicado: (2026)

pUniFind: a unified large pre-trained deep learning model pushing the limit of mass spectra interpretation
por: Zhao, Jiale, et al.
Publicado: (2025)

RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance
por: Chen, Tianlang, et al.
Publicado: (2025)

Self-guided Knowledgeable Network of Thoughts: Amplifying Reasoning with Large Language Models
por: Chen, Chao-Chi, et al.
Publicado: (2024)

LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models
por: Wei, Songtao, et al.
Publicado: (2026)

Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models
por: Guo, Zhenyuan, et al.
Publicado: (2026)

Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds
por: Chen, Huitong, et al.
Publicado: (2025)

Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
por: Wang, Yuchen, et al.
Publicado: (2025)

Diversity-Aware Policy Optimization for Large Language Model Reasoning
por: Yao, Jian, et al.
Publicado: (2025)

Break the Block: Dynamic-size Reasoning Blocks for Diffusion Large Language Models via Monotonic Entropy Descent with Reinforcement Learning
por: Jiang, Yan, et al.
Publicado: (2026)

How Hard is it to Confuse a World Model?
por: Radji, Waris, et al.
Publicado: (2025)

Inpainting-Guided Policy Optimization for Diffusion Large Language Models
por: Zhao, Siyan, et al.
Publicado: (2025)

Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language Models
por: Sheng, Zhichao, et al.
Publicado: (2025)

Reasoning with Latent Tokens in Diffusion Language Models
por: He, Andre, et al.
Publicado: (2026)

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels
por: Bai, Haolei, et al.
Publicado: (2026)

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
por: Guo, Siyuan, et al.
Publicado: (2024)

Exploring and Addressing Reward Confusion in Offline Preference Learning
por: Chen, Xin, et al.
Publicado: (2024)

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
por: Ye, Jiacheng, et al.
Publicado: (2024)

Toward Adaptive Reasoning in Large Language Models with Thought Rollback
por: Chen, Sijia, et al.
Publicado: (2024)

MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models
por: Huang, Zimeng, et al.
Publicado: (2025)

DynaAct: Large Language Model Reasoning with Dynamic Action Spaces
por: Zhao, Xueliang, et al.
Publicado: (2025)

Linear Dynamics in the RLVR Training of Large Language Models
por: Wang, Tianle, et al.
Publicado: (2026)

DeepForm: Reasoning Large Language Model for Communication System Formulation
por: Wu, Panlong, et al.
Publicado: (2025)

Towards a Mechanistic Understanding of Propositional Logical Reasoning in Large Language Models
por: Chen, Danchun, et al.
Publicado: (2026)

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models
por: Ruan, Jiaoyang, et al.
Publicado: (2026)

Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
por: Rojas, Kevin, et al.
Publicado: (2025)

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
por: Zhao, Siyan, et al.
Publicado: (2025)

Diffuse or Confuse: A Diffusion Deepfake Speech Dataset
por: Firc, Anton, et al.
Publicado: (2024)

SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning
por: Hu, Chenzhi, et al.
Publicado: (2026)

Are Large-Language Models Graph Algorithmic Reasoners?
por: Taylor, Alexander K, et al.
Publicado: (2024)

On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models
por: Wang, Shumin, et al.
Publicado: (2026)

Consistent Diffusion Language Models
por: Amin, Hasan, et al.
Publicado: (2026)

Multi-Layer GRPO: Enhancing Reasoning and Self-Correction in Large Language Models
por: Ding, Fei, et al.
Publicado: (2025)