Cover Image

UltraGen: Extremely Fine-grained Controllable Generation via Attribute Reconstruction and Global Preference Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yun, Longfei, Peng, Letian, Shang, Jingbo
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing
by: Peng, Letian, et al.
Published: (2024)

Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation
by: Peng, Letian, et al.
Published: (2023)

Codified Foreshadowing-Payoff Text Generation
by: Yun, Longfei, et al.
Published: (2026)

Deriving Character Logic from Storyline as Codified Decision Trees
by: Peng, Letian, et al.
Published: (2026)

The Price of Format: Diversity Collapse in LLMs
by: Yun, Longfei, et al.
Published: (2025)

Codifying Character Logic in Role-Playing
by: Peng, Letian, et al.
Published: (2025)

Incubating Text Classifiers Following User Instruction with Nothing but LLM
by: Peng, Letian, et al.
Published: (2024)

Correlation and Navigation in the Vocabulary Key Representation Space of Language Models
by: Peng, Letian, et al.
Published: (2024)

BOOKMARKS: Efficient Active Storyline Memory for Role-playing
by: Peng, Letian, et al.
Published: (2026)

Linear Correlation in LM's Compositional Generalization and Hallucination
by: Peng, Letian, et al.
Published: (2025)

Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs
by: Zhou, Shang, et al.
Published: (2024)

UltraGen: High-Resolution Video Generation with Hierarchical Attention
by: Hu, Teng, et al.
Published: (2025)

Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's Nest
by: Peng, Letian, et al.
Published: (2025)

Codified Finite-state Machines for Role-playing
by: Peng, Letian, et al.
Published: (2026)

Simulating Organized Group Behavior: New Framework, Benchmark, and Analysis
by: Zou, Xinkai, et al.
Published: (2026)

UltraGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention
by: Zhang, Yuyao, et al.
Published: (2025)

MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks
by: Peng, Letian, et al.
Published: (2024)

Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification
by: Peng, Letian, et al.
Published: (2024)

Answer is All You Need: Instruction-following Text Embedding via Answering the Question
by: Peng, Letian, et al.
Published: (2024)

GenerationPrograms: Fine-grained Attribution with Executable Programs
by: Wan, David, et al.
Published: (2025)

TTPA: Token-level Tool-use Preference Alignment Training Framework with Fine-grained Evaluation
by: Huang, Chengrui, et al.
Published: (2025)

ChartLens: Fine-grained Visual Attribution in Charts
by: Suri, Manan, et al.
Published: (2025)

Fine-grained Video Dubbing Duration Alignment with Segment Supervised Preference Optimization
by: Cui, Chaoqun, et al.
Published: (2025)

Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents
by: Suri, Manan, et al.
Published: (2025)

Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph
by: Gao, Xiaochen Kev, et al.
Published: (2024)

LingGen: Scalable Multi-Attribute Linguistic Control via Power-Law Masking
by: Elgaar, Mohamed, et al.
Published: (2024)

Fine-grained Analysis of Brain-LLM Alignment through Input Attribution
by: Proietti, Michela, et al.
Published: (2025)

Watermarks for Language Models via Probabilistic Automata
by: Wang, Yangkun, et al.
Published: (2025)

Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection
by: Zhang, Yuwei, et al.
Published: (2025)

Open-world Multi-label Text Classification with Extremely Weak Supervision
by: Li, Xintong, et al.
Published: (2024)

Importance Sampling for Multi-Negative Multimodal Direct Preference Optimization
by: Li, Xintong, et al.
Published: (2025)

Fine-grained Controllable Text Generation through In-context Learning with Feedback
by: Thillainathan, Sarubi, et al.
Published: (2024)

A Tale of LLMs and Induced Small Proxies: Scalable Agents for Knowledge Mining
by: Zhang, Sipeng, et al.
Published: (2025)

Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation
by: Kang, Deokhyung, et al.
Published: (2025)

Improving Attributed Text Generation of Large Language Models via Preference Learning
by: Li, Dongfang, et al.
Published: (2024)

Training Language Models to Generate Text with Citations via Fine-grained Rewards
by: Huang, Chengyu, et al.
Published: (2024)

EVADE: LLM-Based Explanation Generation and Validation for Error Detection in NLI
by: Zuo, Longfei, et al.
Published: (2025)

GenProve: Learning to Generate Text with Fine-Grained Provenance
by: Wei, Jingxuan, et al.
Published: (2026)

CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis
by: Feng, Ruixiang, et al.
Published: (2025)

Switch Attention: Towards Dynamic and Fine-grained Hybrid Transformers
by: Zhao, Yusheng, et al.
Published: (2026)