Cover Image

FlowLM: Few-Step Language Modeling via Diffusion-to-Flow Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Runzhe, Chen, Letian, Zhang, Wenpeng, Lin, Zhouhan, Zhao, Peilin
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PonderLM: Pretraining Language Models to Ponder in Continuous Space
by: Zeng, Boyi, et al.
Published: (2025)

CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think
by: Shen, Junzhe, et al.
Published: (2026)

Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
by: Monsefi, Amin Karimi, et al.
Published: (2026)

InternLM2.5-StepProver: Advancing Automated Theorem Proving via Critic-Guided Search
by: Wu, Zijian, et al.
Published: (2024)

Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows
by: Zhang, Shujian, et al.
Published: (2024)

KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models
by: Chen, Zirui, et al.
Published: (2025)

Infinite Mask Diffusion for Few-Step Distillation
by: Yoo, Jaehoon, et al.
Published: (2026)

FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models
by: Monsefi, Amin Karimi, et al.
Published: (2025)

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
by: Liu, Yuliang, et al.
Published: (2025)

Leveraging Grammar Induction for Language Understanding and Generation
by: Kai, Jushi, et al.
Published: (2024)

DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
by: Zhou, Ying, et al.
Published: (2024)

SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully
by: Kai, Jushi, et al.
Published: (2024)

Critical Data Size of Language Models from a Grokking Perspective
by: Zhu, Xuekai, et al.
Published: (2024)

Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
by: Cao, Jiaqi, et al.
Published: (2025)

Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model
by: Zhan, Runzhe, et al.
Published: (2024)

SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)
by: Sun, Ruoxi, et al.
Published: (2023)

DocReLM: Mastering Document Retrieval with Language Model
by: Wei, Gengchen, et al.
Published: (2024)

ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models
by: Guo, Wenbin, et al.
Published: (2025)

REFINE-LM: Mitigating Language Model Stereotypes via Reinforcement Learning
by: Qureshi, Rameez, et al.
Published: (2024)

Bridging Language Gaps: Enhancing Few-Shot Language Adaptation
by: Borchert, Philipp, et al.
Published: (2025)

Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step
by: Yang, Jingyi, et al.
Published: (2025)

Flow Map Language Models: One-step Language Modeling via Continuous Denoising
by: Lee, Chanhyuk, et al.
Published: (2026)

Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping
by: Wang, Haoyu, et al.
Published: (2024)

SUTA-LM: Bridging Test-Time Adaptation and Language Model Rescoring for Robust ASR
by: Huang, Wei-Ping, et al.
Published: (2025)

DFlow: Diverse Dialogue Flow Simulation with Large Language Models
by: Du, Wanyu, et al.
Published: (2024)

TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise
by: He, Nan, et al.
Published: (2023)

Reversible Diffusion Decoding for Diffusion Language Models
by: Wang, Xinyun, et al.
Published: (2026)

Enhancing LLM Reasoning via Non-Human-Like Reasoning Path Preference Optimization
by: Lu, Junjie, et al.
Published: (2025)

Language Models are Few-Shot Graders
by: Zhao, Chenyan, et al.
Published: (2025)

Context-level Language Modeling by Learning Predictive Context Embeddings
by: Dai, Beiya, et al.
Published: (2025)

HuRef: HUman-REadable Fingerprint for Large Language Models
by: Zeng, Boyi, et al.
Published: (2023)

TLoRA: Task-aware Low Rank Adaptation of Large Language Models
by: Lin, Weicheng, et al.
Published: (2026)

Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition
by: Tian, Chang, et al.
Published: (2024)

Next Concept Prediction in Discrete Latent Space Leads to Stronger Language Models
by: Liu, Yuliang, et al.
Published: (2026)

FlowRL: Matching Reward Distributions for LLM Reasoning
by: Zhu, Xuekai, et al.
Published: (2025)

Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
by: Zhao, Bingchen, et al.
Published: (2024)

IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction
by: He, Kaiyu, et al.
Published: (2024)

The Impact of Reasoning Step Length on Large Language Models
by: Jin, Mingyu, et al.
Published: (2024)

TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models
by: Zhang, Li, et al.
Published: (2025)

CodecLM: Aligning Language Models with Tailored Synthetic Data
by: Wang, Zifeng, et al.
Published: (2024)