Cover Image

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Siyan, Gupta, Devaansh, Zheng, Qinqing, Grover, Aditya
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Probing the Decision Boundaries of In-context Learning in Large Language Models
by: Zhao, Siyan, et al.
Published: (2024)

Group Preference Optimization: Few-Shot Alignment of Large Language Models
by: Zhao, Siyan, et al.
Published: (2023)

Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
by: Zheng, Qinqing, et al.
Published: (2024)

Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
by: Zhao, Siyan, et al.
Published: (2026)

Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models
by: Zhao, Siyan, et al.
Published: (2024)

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
by: Bansal, Hritik, et al.
Published: (2023)

T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
by: Hou, Zhenyu, et al.
Published: (2025)

HierRouter: Coordinated Routing of Specialized Large Language Models via Reinforcement Learning
by: Gupta, Nikunj, et al.
Published: (2025)

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
by: Su, DiJia, et al.
Published: (2025)

DISPO: Enhancing Training Efficiency and Stability in Reinforcement Learning for Large Language Model Mathematical Reasoning
by: Karaman, Batuhan K., et al.
Published: (2026)

InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification
by: Kharbanda, Siddhant, et al.
Published: (2021)

Accelerating Diffusion LLMs via Adaptive Parallel Decoding
by: Israel, Daniel, et al.
Published: (2025)

Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
by: Bansal, Hritik, et al.
Published: (2024)

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

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
by: Song, Yuxuan, et al.
Published: (2025)

Reliability Under Randomness: An Empirical Analysis of Sparse and Dense Language Models Across Decoding Temperatures
by: Grover, Kabir
Published: (2026)

PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning
by: Zhao, Xueliang, et al.
Published: (2025)

A Training Data Recipe to Accelerate A* Search with Language Models
by: Gupta, Devaansh, et al.
Published: (2024)

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
by: Xi, Zhiheng, et al.
Published: (2024)

Reinforcement Learning for Reasoning in Large Language Models with One Training Example
by: Wang, Yiping, et al.
Published: (2025)

CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI Feedback
by: Zhang, Wenbo, et al.
Published: (2024)

When Actions Teach You to Think: Reasoning-Action Synergy via Reinforcement Learning in Conversational Agents
by: Rawat, Mrinal, et al.
Published: (2025)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
by: Luo, Haipeng, et al.
Published: (2023)

AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models
by: Yeh, Cheng-Kai, et al.
Published: (2025)

Scaling Multimodal Search and Recommendation with Small Language Models via Upside-Down Reinforcement Learning
by: Lin, Yu-Chen, et al.
Published: (2025)

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
by: Zeng, Zhiyuan, et al.
Published: (2025)

Progressive-Hint Prompting Improves Reasoning in Large Language Models
by: Zheng, Chuanyang, et al.
Published: (2023)

Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
by: Zhou, Cai, et al.
Published: (2025)

Reasoning Elicitation in Language Models via Counterfactual Feedback
by: Hüyük, Alihan, et al.
Published: (2024)

Distilling Large Language Models for Text-Attributed Graph Learning
by: Pan, Bo, et al.
Published: (2024)

A Survey of Reinforcement Learning for Large Reasoning Models
by: Zhang, Kaiyan, et al.
Published: (2025)

Revisiting Entropy in Reinforcement Learning for Large Reasoning Models
by: Jin, Renren, et al.
Published: (2025)

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
by: Hu, Jingcheng, et al.
Published: (2025)

Large Language Diffusion Models
by: Nie, Shen, et al.
Published: (2025)

Mercury: Ultra-Fast Language Models Based on Diffusion
by: Labs, Inception, et al.
Published: (2025)

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
by: Cui, Ganqu, et al.
Published: (2025)

Enabling Autoregressive Models to Fill In Masked Tokens
by: Israel, Daniel, et al.
Published: (2025)

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models
by: Jin, Rihui, et al.
Published: (2025)

On the Quantization Robustness of Diffusion Language Models in Coding Benchmarks
by: Gupta, Aarav, et al.
Published: (2026)

A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning
by: Wachi, Akifumi, et al.
Published: (2026)