Cover Image

Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Xiaochen, Karadzhov, Georgi, Whitehouse, Chenxi, Vlachos, Andreas
Format:	Preprint
Published:	2024
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

Collaborative Evaluation of Deepfake Text with Deliberation-Enhancing Dialogue Systems
by: Lee, Jooyoung, et al.
Published: (2025)

LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generations
by: Zhang, Caiqi, et al.
Published: (2025)

The effect of diversity on group decision-making
by: Karadzhov, Georgi, et al.
Published: (2024)

Conformity in Large Language Models
by: Zhu, Xiaochen, et al.
Published: (2024)

Inducing Generalization across Languages and Tasks using Featurized Low-Rank Mixtures
by: Lin, Chu-Cheng, et al.
Published: (2024)

PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models
by: Tan, Haochen, et al.
Published: (2024)

PRobELM: Plausibility Ranking Evaluation for Language Models
by: Yuan, Zhangdie, et al.
Published: (2024)

An LLM Feature-based Framework for Dialogue Constructiveness Assessment
by: Zhou, Lexin, et al.
Published: (2024)

Quantized Embedding Vectors for Controllable Diffusion Language Models
by: Kang, Cheng, et al.
Published: (2024)

Towards Knowledge-Grounded Natural Language Understanding and Generation
by: Whitehouse, Chenxi
Published: (2024)

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

dInfer: An Efficient Inference Framework for Diffusion Language Models
by: Ma, Yuxin, et al.
Published: (2025)

Differences in Text Generated by Diffusion and Autoregressive Language Models
by: Zhang, Zeyang, et al.
Published: (2026)

CtrlDiff: Boosting Large Diffusion Language Models with Dynamic Block Prediction and Controllable Generation
by: Huang, Chihan, et al.
Published: (2025)

DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space
by: Xiang, Jianxiang, et al.
Published: (2024)

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

Time-Annealed Perturbation Sampling: Diverse Generation for Diffusion Language Models
by: Wu, Jingxuan, 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)

TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language Diffusion
by: Cai, Donghong, et al.
Published: (2026)

Attention Sinks in Diffusion Language Models
by: Rulli, Maximo Eduardo, et al.
Published: (2025)

Residual Context Diffusion Language Models
by: Hu, Yuezhou, et al.
Published: (2026)

Diffutron: A Masked Diffusion Language Model for Turkish Language
by: Kocabay, Şuayp Talha, et al.
Published: (2026)

RAG-BioQA: A Retrieval-Augmented Generation Framework for Long-Form Biomedical Question Answering
by: Panchumarthi, Lovely Yeswanth, et al.
Published: (2025)

Atomic Calibration of LLMs in Long-Form Generations
by: Zhang, Caiqi, et al.
Published: (2024)

IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation
by: Fan, Haozhi, et al.
Published: (2026)

Micro-Macro Retrieval: Reducing Long-Form Hallucination in Large Language Models
by: Feng, Yujie, et al.
Published: (2026)

Finish First, Perfect Later: Test-Time Token-Level Cross-Validation for Diffusion Large Language Models
by: Tian, Runchu, et al.
Published: (2025)

FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
by: Marinescu, Radu, et al.
Published: (2025)

Conditional [MASK] Discrete Diffusion Language Model
by: Koh, Hyukhun, et al.
Published: (2024)

Promises, Outlooks and Challenges of Diffusion Language Modeling
by: Deschenaux, Justin, et al.
Published: (2024)

Deferred Commitment Decoding for Diffusion Language Models
by: Shu, Yingte, et al.
Published: (2026)

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
by: Zhou, Cai, et al.
Published: (2025)

MENLO: From Preferences to Proficiency -- Evaluating and Modeling Native-like Quality Across 47 Languages
by: Whitehouse, Chenxi, et al.
Published: (2025)

LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability
by: Xiao, Zikai, et al.
Published: (2025)

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control
by: Chae, Yunkee, et al.
Published: (2024)

A Cognitive Writing Perspective for Constrained Long-Form Text Generation
by: Wan, Kaiyang, et al.
Published: (2025)

The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models
by: Sun, Bohang, et al.
Published: (2026)

FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
by: Carnerero-Cano, Javier, et al.
Published: (2026)

Where Do Prompt Perturbations Break Generation? A Segment-Level View of Robustness in LoRA-Tuned Language Models
by: Li, Zhuoyun, et al.
Published: (2026)

DIP: Dynamic In-Context Planner For Diffusion Language Models
by: Li, Yang, et al.
Published: (2026)