One Latent, Many Tokens: Jointly Learning Compressed Embeddings for Efficient Language Diffusion
cs.AI
Submitted: 2026-09-27
Updated: 2026-09-27
Code: https://github.com/infiniteYuanyl/JPEG-DLM
Project page: http://skylion007.github.io/OpenWebTextCorpus
Terminology
Sources
- LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
- LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling
- Hacking Generative Perplexity: Why Unconditional Text Evaluation Needs Distributional Metrics
- Continuous Latent Diffusion Language Model
- ELF: Embedded Language Flows
- Flow Map Language Models: One-step Language Modeling via Continuous Denoising
- AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling
- How to Train Your Latent Diffusion Language Model Jointly With the Latent Space
- Cluster-Level Attention-Guided Parallel Decoding for Masked Diffusion Language Models
- CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think
- Dream 7B: Diffusion Large Language Models
- Visual-Redundancy-Controlled Parallel Decoding for Diffusion-Based Multimodal Large Language Models
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