Cover Image

Text Diffusion with Reinforced Conditioning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yuxuan, Yang, Tianchi, Huang, Shaohan, Zhang, Zihan, Huang, Haizhen, Wei, Furu, Deng, Weiwei, Sun, Feng, Zhang, Qi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ResLoRA: Identity Residual Mapping in Low-Rank Adaption
by: Shi, Shuhua, et al.
Published: (2024)

HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition
by: Liu, Yuxuan, et al.
Published: (2024)

Textual Aesthetics in Large Language Models
by: Jiang, Lingjie, et al.
Published: (2024)

Multi-Head Mixture-of-Experts
by: Wu, Xun, et al.
Published: (2024)

Context-DPO: Aligning Language Models for Context-Faithfulness
by: Bi, Baolong, et al.
Published: (2024)

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
by: Jiang, Ting, et al.
Published: (2024)

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
by: Wang, Qibin, et al.
Published: (2025)

Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles
by: Wei, Qingyan, et al.
Published: (2025)

Improving Domain Adaptation through Extended-Text Reading Comprehension
by: Jiang, Ting, et al.
Published: (2024)

Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)

Auto-ICL: In-Context Learning without Human Supervision
by: Yang, Jinghan, et al.
Published: (2023)

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning
by: Yang, Ningyuan, et al.
Published: (2026)

MathScale: Scaling Instruction Tuning for Mathematical Reasoning
by: Tang, Zhengyang, et al.
Published: (2024)

From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
by: Jiang, Xitai, et al.
Published: (2026)

BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
by: Xi, Zhiheng, et al.
Published: (2025)

AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
by: Chen, Yang, et al.
Published: (2025)

MT$^{3}$: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning
by: Feng, Zhaopeng, et al.
Published: (2025)

DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
by: Guo, Xun, et al.
Published: (2024)

Learning to Generalize Unseen Domains via Multi-Source Meta Learning for Text Classification
by: Hu, Yuxuan, et al.
Published: (2024)

Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts
by: Luo, Sijia, et al.
Published: (2026)

DiffuSpeech: Silent Thought, Spoken Answer via Unified Speech-Text Diffusion
by: Lou, Yuxuan, et al.
Published: (2026)

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling
by: Huang, Zeyu, et al.
Published: (2025)

LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
by: Deng, Wenlong, et al.
Published: (2024)

MoST: Mixing Speech and Text with Modality-Aware Mixture of Experts
by: Lou, Yuxuan, et al.
Published: (2026)

Learn to Reason Efficiently with Adaptive Length-based Reward Shaping
by: Liu, Wei, et al.
Published: (2025)

Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
by: Wang, Ru, et al.
Published: (2025)

ChatTraffic: Text-to-Traffic Generation via Diffusion Model
by: Zhang, Chengyang, et al.
Published: (2023)

Thinking Augmented Pre-training
by: Wang, Liang, et al.
Published: (2025)

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

InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation
by: Zhao, Weilin, et al.
Published: (2025)

AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting
by: Li, Renda, et al.
Published: (2025)

Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks
by: Zhang, Edwin, et al.
Published: (2022)

Empowering Diffusion Models on the Embedding Space for Text Generation
by: Gao, Zhujin, et al.
Published: (2022)

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

TextGrad: Automatic "Differentiation" via Text
by: Yuksekgonul, Mert, et al.
Published: (2024)

Causally-Enhanced Reinforcement Policy Optimization
by: Wang, Xiangqi, et al.
Published: (2025)

Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model
by: Miao, Yibo, et al.
Published: (2023)

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark
by: Zhao, Qihao, et al.
Published: (2024)

Replay Failures as Successes: Sample-Efficient Reinforcement Learning for Instruction Following
by: Zhang, Kongcheng, et al.
Published: (2025)

Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models
by: Liu, Xiaoze, et al.
Published: (2026)