arXiv AI July 2, 2026 By Ruikang Zhao, Zhenting Wang, Han Gao, Ligong Han

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing

arXiv:2607. 00208v1 Announce Type: cross Abstract: Reinforcement learning for diffusion large language models (dLLMs) has largely moved to trajectory-aware methods.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

arXiv AI

Jun 9

Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models

arXiv:2606. 08446v1 Announce Type: cross Abstract: Despite being powerful, reinforcement learning with verifiable rewards (RLVR) induces extremely long COT, making it computationally expensive.

By Yang Zhou, Ranajoy Sadhukhan, Zhaofeng Sun, Zhuoming Chen, Souvik Kundu, Saket Dingliwal, Sai Muralidhar Jayanthi, Aram Galstyan, Haizhong Zheng, Beidi Chen

llms reinforcement-learning fine-tuning efficiency

arXiv AI

Jul 21

Trace-Based On-Policy Distillation for Masked Diffusion Language Models

arXiv:2607. 16872v1 Announce Type: cross Abstract: Diffusion large language models (dLLMs) are a promising alternative to autoregressive generation.

By Haolin Ren, Ziyang Huang, Chenhao Yuan, Jun Zhao, Kang Liu

llms diffusion reinforcement-learning fine-tuning efficiency benchmarks

arXiv AI

Jun 12

TimeROME-DLM: Temporal Causal Tracing and Low-Rank Inference-Time Knowledge Editing for Masked Diffusion Language Models

arXiv:2606. 12841v1 Announce Type: cross Abstract: Masked diffusion language models (MDLMs) such as LLaDA now rival autoregressive (AR) LLMs, but every existing knowledge-editing and unlearning method (ROME, MEMIT, etc.

By Zhengtao Yao, Liuyang Song, Hongbo Zhang, Chenhao Wei, Haoyan Xu, Guang Yang, Siheng Wang

llms diffusion

arXiv AI

6d ago

CORA-Diff: Confidence-Oriented Residual Acceptance for Efficient Diffusion Language Model Inference

arXiv:2608. 11235v1 Announce Type: new Abstract: Diffusion language models (DLMs) update many tokens in parallel, yet practical decoders often use a fixed denoising horizon.

By Yifan Wu, Yufeng Zhang, Kenli Li

llms diffusion benchmarks

arXiv AI

Jun 29

Trust Region Masking for Long-Horizon LLM Reinforcement Learning

arXiv:2512. 23075v5 Announce Type: replace-cross Abstract: Policy gradient methods for Large Language Models optimize a policy $\pi_\theta$ via a surrogate objective computed from samples of a rollout policy $\pi_{\text{roll}}$.

By Yingru Li, Jiacai Liu, Jiawei Xu, Yuxuan Tong, Ziniu Li, Qian Liu, Baoxiang Wang

llms reinforcement-learning

arXiv AI

Jun 3

Aletheia: What Makes RLVR For Code Verifiers Tick?

arXiv:2601. 12186v3 Announce Type: replace-cross Abstract: Multi-domain thinking verifiers trained via Reinforcement Learning with Verifiable Rewards (RLVR) are a cornerstone of modern post-training.

By Vatsal Venkatkrishna, Indraneil Paul, Iryna Gurevych

reinforcement-learning

Related stories

Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models

Trace-Based On-Policy Distillation for Masked Diffusion Language Models

TimeROME-DLM: Temporal Causal Tracing and Low-Rank Inference-Time Knowledge Editing for Masked Diffusion Language Models

CORA-Diff: Confidence-Oriented Residual Acceptance for Efficient Diffusion Language Model Inference

Trust Region Masking for Long-Horizon LLM Reinforcement Learning

Aletheia: What Makes RLVR For Code Verifiers Tick?