Cover Image

Empowering Diffusion Models on the Embedding Space for Text Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Zhujin, Guo, Junliang, Tan, Xu, Zhu, Yongxin, Zhang, Fang, Bian, Jiang, Xu, Linli
Format:	Preprint
Published:	2022
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

Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes
by: Li, Bocheng, et al.
Published: (2025)

Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training
by: Guo, Qingyan, et al.
Published: (2024)

LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?
by: Wang, Yuchi, et al.
Published: (2024)

3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection
by: Ding, Hongxin, et al.
Published: (2024)

Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling
by: Zheng, Kaiwen, et al.
Published: (2024)

UniGLM: Training One Unified Language Model for Text-Attributed Graph Embedding
by: Fang, Yi, et al.
Published: (2024)

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

COMET: Concept Space Dissection of the Modality Gap in Audio-Text Multimodal Contrastive Embeddings
by: Zhu, Yonggang, et al.
Published: (2026)

EdgeMoE: Empowering Sparse Large Language Models on Mobile Devices
by: Yi, Rongjie, et al.
Published: (2023)

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

Hakim: Farsi Text Embedding Model
by: Sarmadi, Mehran, et al.
Published: (2025)

Continuous Diffusion Scales Competitively with Discrete Diffusion for Language
by: Yang, Zhihan, et al.
Published: (2026)

Self-Hinting Language Models Enhance Reinforcement Learning
by: Liao, Baohao, et al.
Published: (2026)

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers
by: Guo, Qingyan, et al.
Published: (2023)

Scaling up Masked Diffusion Models on Text
by: Nie, Shen, et al.
Published: (2024)

UniMoT: Unified Molecule-Text Language Model with Discrete Token Representation
by: Guo, Shuhan, et al.
Published: (2024)

Word Embeddings Are Steers for Language Models
by: Han, Chi, et al.
Published: (2023)

Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management
by: Li, Mo, et al.
Published: (2025)

A Dual-Space Framework for General Knowledge Distillation of Large Language Models
by: Zhang, Xue, et al.
Published: (2025)

A General Framework for Producing Interpretable Semantic Text Embeddings
by: Sun, Yiqun, et al.
Published: (2024)

Learning Using Generated Privileged Information by Text-to-Image Diffusion Models
by: Menadil, Rafael-Edy, et al.
Published: (2023)

Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text
by: Zhou, Hongyi, 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)

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings
by: Sawczyn, Albert, et al.
Published: (2024)

Demystifying Embedding Spaces using Large Language Models
by: Tennenholtz, Guy, et al.
Published: (2023)

Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction
by: Yan, Haoqiu, et al.
Published: (2024)

xLAM: A Family of Large Action Models to Empower AI Agent Systems
by: Zhang, Jianguo, et al.
Published: (2024)

Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization
by: Yu, Jing, et al.
Published: (2025)

ctELM: Decoding and Manipulating Embeddings of Clinical Trials with Embedding Language Models
by: Ondov, Brian, et al.
Published: (2026)

RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation
by: Cao, Yuefan, et al.
Published: (2025)

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models
by: Liang, Haoyu, et al.
Published: (2025)

One Swallow Does Not Make a Summer: Understanding Semantic Structures in Embedding Spaces
by: Sun, Yandong, et al.
Published: (2025)

Text Diffusion with Reinforced Conditioning
by: Liu, Yuxuan, et al.
Published: (2024)

Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings
by: Kadhim, Ahmed K., et al.
Published: (2025)

Large AI Model Empowered Multimodal Semantic Communications
by: Jiang, Feibo, et al.
Published: (2023)

AnglE-optimized Text Embeddings
by: Li, Xianming, et al.
Published: (2023)

Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations
by: Zhang, Xu, et al.
Published: (2026)

FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-World LoRA
by: Bian, Jieming, et al.
Published: (2025)

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding
by: Xiao, Feng, et al.
Published: (2025)

CataLM: Empowering Catalyst Design Through Large Language Models
by: Wang, Ludi, et al.
Published: (2024)