Diffusion Language Models for Speech Recognition
Fuente:
arXiv
Saved in:
| Main Authors: | Naveriani, Davyd, Zeyer, Albert, Schlüter, Ralf, Ney, Hermann |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Text-Utilization for Encoder-dominated Speech Recognition Models
by: Zeyer, Albert, et al.
Published: (2026)
by: Zeyer, Albert, et al.
Published: (2026)
Reproducing and Dissecting Denoising Language Models for Speech Recognition
by: Koch, Dorian, et al.
Published: (2025)
by: Koch, Dorian, et al.
Published: (2025)
Enriching language models with graph-based context information to better understand textual data
by: Roethel, Albert, et al.
Published: (2023)
by: Roethel, Albert, et al.
Published: (2023)
Solve the Loop: Attractor Models for Language and Reasoning
by: Fein-Ashley, Jacob, et al.
Published: (2026)
by: Fein-Ashley, Jacob, et al.
Published: (2026)
Hyperbolic Fine-Tuning for Large Language Models
by: Yang, Menglin, et al.
Published: (2024)
by: Yang, Menglin, et al.
Published: (2024)
Elastic Architecture Search for Efficient Language Models
by: Wang, Shang
Published: (2025)
by: Wang, Shang
Published: (2025)
EvoMerge: Neuroevolution for Large Language Models
by: Jiang, Yushu
Published: (2024)
by: Jiang, Yushu
Published: (2024)
H-Node Attack and Defense in Large Language Models
by: Yocam, Eric, et al.
Published: (2026)
by: Yocam, Eric, et al.
Published: (2026)
Fleet of Agents: Coordinated Problem Solving with Large Language Models
by: Klein, Lars, et al.
Published: (2024)
by: Klein, Lars, et al.
Published: (2024)
Large Language Models and Emergence: A Complex Systems Perspective
by: Krakauer, David C., et al.
Published: (2025)
by: Krakauer, David C., et al.
Published: (2025)
Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models
by: Petruzzellis, Flavio, et al.
Published: (2024)
by: Petruzzellis, Flavio, et al.
Published: (2024)
MAR: Efficient Large Language Models via Module-aware Architecture Refinement
by: Cai, Junhong, et al.
Published: (2026)
by: Cai, Junhong, et al.
Published: (2026)
Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
by: Baumann, Jill, et al.
Published: (2024)
by: Baumann, Jill, et al.
Published: (2024)
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
by: Shojaee, Parshin, et al.
Published: (2024)
by: Shojaee, Parshin, et al.
Published: (2024)
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges
by: Wang, Chao, et al.
Published: (2024)
by: Wang, Chao, et al.
Published: (2024)
Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domain
by: Ruiz, Daniel C., et al.
Published: (2024)
by: Ruiz, Daniel C., et al.
Published: (2024)
W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models
by: Wang, Shang
Published: (2025)
by: Wang, Shang
Published: (2025)
Language Models Learn Universal Representations of Numbers and Here's Why You Should Care
by: Štefánik, Michal, et al.
Published: (2025)
by: Štefánik, Michal, et al.
Published: (2025)
Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition
by: Yu, Yu, et al.
Published: (2024)
by: Yu, Yu, et al.
Published: (2024)
Evaluating Large Language Models with Grid-Based Game Competitions: An Extensible LLM Benchmark and Leaderboard
by: Topsakal, Oguzhan, et al.
Published: (2024)
by: Topsakal, Oguzhan, et al.
Published: (2024)
Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition
by: Yu, Yu, et al.
Published: (2023)
by: Yu, Yu, et al.
Published: (2023)
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security
by: Qu, Youyang, et al.
Published: (2024)
by: Qu, Youyang, et al.
Published: (2024)
EvoGPT-f: An Evolutionary GPT Framework for Benchmarking Formal Math Languages
by: Mercer, Johnathan
Published: (2024)
by: Mercer, Johnathan
Published: (2024)
Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data
by: Miranda, Brando, et al.
Published: (2023)
by: Miranda, Brando, et al.
Published: (2023)
Topic Modelling Black Box Optimization
by: Akramov, Roman, et al.
Published: (2025)
by: Akramov, Roman, et al.
Published: (2025)
Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models
by: Liang, Haoyu, et al.
Published: (2025)
by: Liang, Haoyu, et al.
Published: (2025)
Accelerating Training Speed of Tiny Recursive Models with Curriculum Guided Adaptive Recursion
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
Toward Preference-aligned Large Language Models via Residual-based Model Steering
by: La Cava, Lucio, et al.
Published: (2025)
by: La Cava, Lucio, et al.
Published: (2025)
A Gauge Theory of Superposition: Toward a Sheaf-Theoretic Atlas of Neural Representations
by: Javidnia, Hossein
Published: (2026)
by: Javidnia, Hossein
Published: (2026)
Semantic Sections: An Atlas-Native Feature Ontology for Obstructed Representation Spaces
by: Javidnia, Hossein
Published: (2026)
by: Javidnia, Hossein
Published: (2026)
Parameter-Efficient Fine-Tuning of LLMs with Mixture of Space Experts
by: Zhang, Buze, et al.
Published: (2026)
by: Zhang, Buze, et al.
Published: (2026)
Compute Allocation in Evolutionary Search: From Depth-Breadth to Multi-Armed Bandits
by: Xing, Sixue, et al.
Published: (2026)
by: Xing, Sixue, et al.
Published: (2026)
Vector Policy Optimization: Training for Diversity Improves Test-Time Search
by: Bahlous-Boldi, Ryan, et al.
Published: (2026)
by: Bahlous-Boldi, Ryan, et al.
Published: (2026)
NOBLE: Accelerating Transformers with Nonlinear Low-Rank Branches
by: Smith, Ethan
Published: (2026)
by: Smith, Ethan
Published: (2026)
Selective Synchronization Attention
by: Hays, Hasi
Published: (2026)
by: Hays, Hasi
Published: (2026)
AgenticGEO: A Self-Evolving Agentic System for Generative Engine Optimization
by: Yuan, Jiaqi, et al.
Published: (2026)
by: Yuan, Jiaqi, et al.
Published: (2026)
Why Fine-Tuning Encourages Hallucinations and How to Fix It
by: Kaplan, Guy, et al.
Published: (2026)
by: Kaplan, Guy, et al.
Published: (2026)
Interlocking-free Selective Rationalization Through Genetic-based Learning
by: Ruggeri, Federico, et al.
Published: (2024)
by: Ruggeri, Federico, et al.
Published: (2024)
CAPO: Cost-Aware Prompt Optimization
by: Zehle, Tom, et al.
Published: (2025)
by: Zehle, Tom, et al.
Published: (2025)
Position as Probability: Self-Supervised Transformers that Think Past Their Training for Length Extrapolation
by: Lee, Philip Heejun
Published: (2025)
by: Lee, Philip Heejun
Published: (2025)
Similar Items
-
Text-Utilization for Encoder-dominated Speech Recognition Models
by: Zeyer, Albert, et al.
Published: (2026) -
Reproducing and Dissecting Denoising Language Models for Speech Recognition
by: Koch, Dorian, et al.
Published: (2025) -
Enriching language models with graph-based context information to better understand textual data
by: Roethel, Albert, et al.
Published: (2023) -
Solve the Loop: Attractor Models for Language and Reasoning
by: Fein-Ashley, Jacob, et al.
Published: (2026) -
Hyperbolic Fine-Tuning for Large Language Models
by: Yang, Menglin, et al.
Published: (2024)