LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yuxin, Liang, Chumeng, Sui, Hangke, Guo, Ruihan, Cheng, Chaoran, You, Jiaxuan, Liu, Ge |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models
by: Liang, Chumeng, et al.
Published: (2024)
by: Liang, Chumeng, et al.
Published: (2024)
DiagramEval: Evaluating LLM-Generated Diagrams via Graphs
by: Liang, Chumeng, et al.
Published: (2025)
by: Liang, Chumeng, et al.
Published: (2025)
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
by: Fan, Jiajun, et al.
Published: (2025)
by: Fan, Jiajun, et al.
Published: (2025)
Debugging Tabular Log as Dynamic Graphs
by: Liang, Chumeng, et al.
Published: (2025)
by: Liang, Chumeng, et al.
Published: (2025)
$α$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models
by: Cheng, Chaoran, et al.
Published: (2025)
by: Cheng, Chaoran, et al.
Published: (2025)
Continuous Diffusion Scales Competitively with Discrete Diffusion for Language
by: Yang, Zhihan, et al.
Published: (2026)
by: Yang, Zhihan, et al.
Published: (2026)
UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels
by: Sui, Hangke, et al.
Published: (2026)
by: Sui, Hangke, et al.
Published: (2026)
Probing the Knowledge Boundary: An Interactive Agentic Framework for Deep Knowledge Extraction
by: Yang, Yuheng, et al.
Published: (2026)
by: Yang, Yuheng, et al.
Published: (2026)
PARAMANU-GANITA: Can Small Math Language Models Rival with Large Language Models on Mathematical Reasoning?
by: Niyogi, Mitodru, et al.
Published: (2024)
by: Niyogi, Mitodru, et al.
Published: (2024)
Drifting Objectives for Refining Discrete Diffusion Language Models
by: Oba, Daisuke, et al.
Published: (2026)
by: Oba, Daisuke, et al.
Published: (2026)
Discrete Diffusion Language Model for Efficient Text Summarization
by: Dat, Do Huu, et al.
Published: (2024)
by: Dat, Do Huu, et al.
Published: (2024)
Non-Markovian Discrete Diffusion with Causal Language Models
by: Zhang, Yangtian, et al.
Published: (2025)
by: Zhang, Yangtian, et al.
Published: (2025)
In-Situ Tweedie Discrete Diffusion Models
by: Li, Xiao, et al.
Published: (2025)
by: Li, Xiao, et al.
Published: (2025)
Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models
by: Fan, Jiajun, et al.
Published: (2025)
by: Fan, Jiajun, et al.
Published: (2025)
Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes
by: Li, Bocheng, et al.
Published: (2025)
by: Li, Bocheng, et al.
Published: (2025)
Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows
by: Zhang, Ruixiang, et al.
Published: (2025)
by: Zhang, Ruixiang, et al.
Published: (2025)
Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows
by: Zhang, Shujian, et al.
Published: (2024)
by: Zhang, Shujian, et al.
Published: (2024)
Categorical Flow Matching on Statistical Manifolds
by: Cheng, Chaoran, et al.
Published: (2024)
by: Cheng, Chaoran, et al.
Published: (2024)
Large Language Diffusion Models
by: Nie, Shen, et al.
Published: (2025)
by: Nie, Shen, et al.
Published: (2025)
Riemannian Consistency Model
by: Cheng, Chaoran, et al.
Published: (2025)
by: Cheng, Chaoran, et al.
Published: (2025)
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling
by: Guan, Zhong, et al.
Published: (2024)
by: Guan, Zhong, et al.
Published: (2024)
Sequential Diffusion Language Models
by: Liu, Yangzhou, et al.
Published: (2025)
by: Liu, Yangzhou, et al.
Published: (2025)
Autoregressive Models Rival Diffusion Models at ANY-ORDER Generation
by: Du, Tianqi, et al.
Published: (2026)
by: Du, Tianqi, et al.
Published: (2026)
Improving Variable-Length Generation in Diffusion Language Models via Length Regularization
by: Cheng, Zicong, et al.
Published: (2026)
by: Cheng, Zicong, et al.
Published: (2026)
When to Commit? Towards Variable-Size Self-Contained Blocks for Discrete Diffusion Language Models
by: Wang, Danny, et al.
Published: (2026)
by: Wang, Danny, et al.
Published: (2026)
Constrained Discrete Diffusion
by: Cardei, Michael, et al.
Published: (2025)
by: Cardei, Michael, et al.
Published: (2025)
A Survey on Diffusion Language Models
by: Li, Tianyi, et al.
Published: (2025)
by: Li, Tianyi, et al.
Published: (2025)
Exploring Activation Patterns of Parameters in Language Models
by: Wang, Yudong, et al.
Published: (2024)
by: Wang, Yudong, et al.
Published: (2024)
A Reparameterized Discrete Diffusion Model for Text Generation
by: Zheng, Lin, et al.
Published: (2023)
by: Zheng, Lin, et al.
Published: (2023)
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
by: Lou, Aaron, et al.
Published: (2023)
by: Lou, Aaron, et al.
Published: (2023)
Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
by: Zhang, Haozhen, et al.
Published: (2025)
by: Zhang, Haozhen, et al.
Published: (2025)
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
by: Zhang, Haozhen, et al.
Published: (2024)
by: Zhang, Haozhen, et al.
Published: (2024)
DecompressionLM: Deterministic, Diagnostic, and Zero-Shot Concept Graph Extraction from Language Models
by: Hong, Zhaochen, et al.
Published: (2026)
by: Hong, Zhaochen, et al.
Published: (2026)
Steering Without Breaking: Mechanistically Informed Interventions for Discrete Diffusion Language Models
by: Zhou, Hanhan, et al.
Published: (2026)
by: Zhou, Hanhan, et al.
Published: (2026)
DPad: Efficient Diffusion Language Models with Suffix Dropout
by: Chen, Xinhua, et al.
Published: (2025)
by: Chen, Xinhua, et al.
Published: (2025)
GMTRouter: Personalized LLM Router over Multi-turn User Interactions
by: Xie, Encheng, et al.
Published: (2025)
by: Xie, Encheng, et al.
Published: (2025)
Scaling Properties of Continuous Diffusion Spoken Language Models
by: Ramapuram, Jason, et al.
Published: (2026)
by: Ramapuram, Jason, et al.
Published: (2026)
Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct
by: Zheng, Haoyang, et al.
Published: (2025)
by: Zheng, Haoyang, et al.
Published: (2025)
Small Encoders Can Rival Large Decoders in Detecting Groundedness
by: Abbes, Istabrak, et al.
Published: (2025)
by: Abbes, Istabrak, et al.
Published: (2025)
Integrating Large Language Models with Graphical Session-Based Recommendation
by: Guo, Naicheng, et al.
Published: (2024)
by: Guo, Naicheng, et al.
Published: (2024)
Similar Items
-
Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models
by: Liang, Chumeng, et al.
Published: (2024) -
DiagramEval: Evaluating LLM-Generated Diagrams via Graphs
by: Liang, Chumeng, et al.
Published: (2025) -
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
by: Fan, Jiajun, et al.
Published: (2025) -
Debugging Tabular Log as Dynamic Graphs
by: Liang, Chumeng, et al.
Published: (2025) -
$α$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models
by: Cheng, Chaoran, et al.
Published: (2025)