How to Train Your Latent Diffusion Language Model Jointly With the Latent Space
Fuente:
arXiv
Saved in:
| Main Authors: | Meshchaninov, Viacheslav, Shabalin, Alexander, Chimbulatov, Egor, Gushchin, Nikita, Koziev, Ilya, Korotin, Alexander, Vetrov, Dmitry |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cosmos: Compressed and Smooth Latent Space for Text Diffusion Modeling
by: Meshchaninov, Viacheslav, et al.
Published: (2025)
by: Meshchaninov, Viacheslav, et al.
Published: (2025)
Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation
by: Shabalin, Alexander, et al.
Published: (2025)
by: Shabalin, Alexander, et al.
Published: (2025)
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings
by: Shabalin, Alexander, et al.
Published: (2024)
by: Shabalin, Alexander, et al.
Published: (2024)
Why Gaussian Diffusion Models Fail on Discrete Data and How to Prevent It?
by: Shabalin, Alexander, et al.
Published: (2026)
by: Shabalin, Alexander, et al.
Published: (2026)
Automated Evaluation of Meter and Rhyme in Russian Generative and Human-Authored Poetry
by: Koziev, Ilya
Published: (2025)
by: Koziev, Ilya
Published: (2025)
Detecting Spelling and Grammatical Anomalies in Russian Poetry Texts
by: Koziev, Ilya
Published: (2025)
by: Koziev, Ilya
Published: (2025)
Guided Star-Shaped Masked Diffusion
by: Meshchaninov, Viacheslav, et al.
Published: (2025)
by: Meshchaninov, Viacheslav, et al.
Published: (2025)
Diffusion on language model encodings for protein sequence generation
by: Meshchaninov, Viacheslav, et al.
Published: (2024)
by: Meshchaninov, Viacheslav, et al.
Published: (2024)
Training Large Language Models to Reason in a Continuous Latent Space
by: Hao, Shibo, et al.
Published: (2024)
by: Hao, Shibo, et al.
Published: (2024)
Latent Thinking Optimization: Your Latent Reasoning Language Model Secretly Encodes Reward Signals in Its Latent Thoughts
by: Du, Hanwen, et al.
Published: (2025)
by: Du, Hanwen, et al.
Published: (2025)
Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
by: Zhou, Cai, et al.
Published: (2025)
by: Zhou, Cai, et al.
Published: (2025)
IDLM: Inverse-distilled Diffusion Language Models
by: Li, David, et al.
Published: (2026)
by: Li, David, et al.
Published: (2026)
TextLDM: Language Modeling with Continuous Latent Diffusion
by: Jiang, Jiaxiu, et al.
Published: (2026)
by: Jiang, Jiaxiu, et al.
Published: (2026)
Language Generation as Optimal Control: Closed-Loop Diffusion in Latent Control Space
by: Dong, ZiYi, et al.
Published: (2026)
by: Dong, ZiYi, et al.
Published: (2026)
LatentPrompt: Optimizing Promts in Latent Space
by: Bystroński, Mateusz, et al.
Published: (2025)
by: Bystroński, Mateusz, et al.
Published: (2025)
Time-Correlated Video Bridge Matching
by: Vasilev, Viacheslav, et al.
Published: (2025)
by: Vasilev, Viacheslav, et al.
Published: (2025)
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts
by: Zeng, E. Zhixuan, et al.
Published: (2024)
by: Zeng, E. Zhixuan, et al.
Published: (2024)
Latent Distance Guided Alignment Training for Large Language Models
by: Luo, Haotian
Published: (2024)
by: Luo, Haotian
Published: (2024)
LatentBreak: Jailbreaking Large Language Models through Latent Space Feedback
by: Mura, Raffaele, et al.
Published: (2025)
by: Mura, Raffaele, et al.
Published: (2025)
DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space
by: Xiang, Jianxiang, et al.
Published: (2024)
by: Xiang, Jianxiang, et al.
Published: (2024)
Light Schrödinger Bridge
by: Korotin, Alexander, et al.
Published: (2023)
by: Korotin, Alexander, et al.
Published: (2023)
Inverse Bridge Matching Distillation
by: Gushchin, Nikita, et al.
Published: (2025)
by: Gushchin, Nikita, et al.
Published: (2025)
LatentQA: Teaching LLMs to Decode Activations Into Natural Language
by: Pan, Alexander, et al.
Published: (2024)
by: Pan, Alexander, et al.
Published: (2024)
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
by: Zhang, Yizhe, et al.
Published: (2023)
by: Zhang, Yizhe, et al.
Published: (2023)
Lightweight Latent Reasoning for Narrative Tasks
by: Gurung, Alexander, et al.
Published: (2025)
by: Gurung, Alexander, et al.
Published: (2025)
Multimodal Latent Language Modeling with Next-Token Diffusion
by: Sun, Yutao, et al.
Published: (2024)
by: Sun, Yutao, et al.
Published: (2024)
A Language Model's Guide Through Latent Space
by: von Rütte, Dimitri, et al.
Published: (2024)
by: von Rütte, Dimitri, et al.
Published: (2024)
LatentEvolve: Self-Evolving Test-Time Scaling in Latent Space
by: Zhang, Guibin, et al.
Published: (2025)
by: Zhang, Guibin, et al.
Published: (2025)
Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
by: Wang, Xinyuan, et al.
Published: (2025)
by: Wang, Xinyuan, et al.
Published: (2025)
On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models
by: Varshavsky-Hassid, Miri, et al.
Published: (2024)
by: Varshavsky-Hassid, Miri, et al.
Published: (2024)
Vision-Language Models Unlock Task-Centric Latent Actions
by: Nikulin, Alexander, et al.
Published: (2026)
by: Nikulin, Alexander, et al.
Published: (2026)
Beyond Chains of Thought: Benchmarking Latent-Space Reasoning Abilities in Large Language Models
by: Hagendorff, Thilo, et al.
Published: (2025)
by: Hagendorff, Thilo, et al.
Published: (2025)
Gradient-Regularized Latent Space Modulation in Large Language Models for Structured Contextual Synthesis
by: Yotheringhay, Derek, et al.
Published: (2025)
by: Yotheringhay, Derek, et al.
Published: (2025)
Structured Convergence in Large Language Model Representations via Hierarchical Latent Space Folding
by: Harcourt, Fenella, et al.
Published: (2025)
by: Harcourt, Fenella, et al.
Published: (2025)
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
by: Gong, Zhuocheng, et al.
Published: (2025)
by: Gong, Zhuocheng, et al.
Published: (2025)
Midpoint Generative Models
by: Shlenskii, Daniil, et al.
Published: (2026)
by: Shlenskii, Daniil, et al.
Published: (2026)
Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning
by: Lovelace, Justin, et al.
Published: (2026)
by: Lovelace, Justin, et al.
Published: (2026)
Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States
by: Zhu, Qinglin, et al.
Published: (2025)
by: Zhu, Qinglin, et al.
Published: (2025)
Ethology of Latent Spaces
by: Boisnard, Philippe
Published: (2026)
by: Boisnard, Philippe
Published: (2026)
Continuous Latent Diffusion Language Model
by: Guo, Hongcan, et al.
Published: (2026)
by: Guo, Hongcan, et al.
Published: (2026)
Similar Items
-
Cosmos: Compressed and Smooth Latent Space for Text Diffusion Modeling
by: Meshchaninov, Viacheslav, et al.
Published: (2025) -
Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation
by: Shabalin, Alexander, et al.
Published: (2025) -
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings
by: Shabalin, Alexander, et al.
Published: (2024) -
Why Gaussian Diffusion Models Fail on Discrete Data and How to Prevent It?
by: Shabalin, Alexander, et al.
Published: (2026) -
Automated Evaluation of Meter and Rhyme in Russian Generative and Human-Authored Poetry
by: Koziev, Ilya
Published: (2025)