NEURIPS 2025 "text generation" Papers
9 papers found
d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
Siyan Zhao, Devaansh Gupta, Qinqing Zheng et al.
NEURIPS 2025spotlightarXiv:2504.12216
75
citations
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
Yinuo Ren, Haoxuan Chen, Yuchen Zhu et al.
NEURIPS 2025posterarXiv:2502.00234
29
citations
Informed Correctors for Discrete Diffusion Models
Yixiu Zhao, Jiaxin Shi, Feng Chen et al.
NEURIPS 2025posterarXiv:2407.21243
31
citations
Iterative Foundation Model Fine-Tuning on Multiple Rewards
Pouya M. Ghari, simone sciabola, Ye Wang
NEURIPS 2025posterarXiv:2511.00220
Mixture of Inputs: Text Generation Beyond Discrete Token Sampling
Yufan Zhuang, Liyuan Liu, Chandan Singh et al.
NEURIPS 2025poster
Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
Cai Zhou, Chenyu Wang, Dinghuai Zhang et al.
NEURIPS 2025posterarXiv:2510.08632
3
citations
Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency
Kelvin Kan, Xingjian Li, Benjamin Zhang et al.
NEURIPS 2025posterarXiv:2505.13499
3
citations
Theoretical Benefit and Limitation of Diffusion Language Model
Guhao Feng, Yihan Geng, Jian Guan et al.
NEURIPS 2025posterarXiv:2502.09622
27
citations
Unified Reinforcement and Imitation Learning for Vision-Language Models
Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro et al.
NEURIPS 2025posterarXiv:2510.19307
2
citations