·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Cursor makes its biggest India push yet ahead of SpaceX acquisition with localized pricing2h◆Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents3h◆Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks3h◆The One-Word Census: Answer-Choice Conformity Across 44 Language Models3h◆Creative Integration: A Decidable Criterion of Creativity3h◆BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi3h◆Joint Optimization for Greedy Longest-match Tokenization3h◆Kimi K3: Open Frontier Intelligence3h◆The Few-shot Dilemma: Over-prompting Large Language Models3h◆Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism3h◆Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions3h◆Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram3h◆StageGuard: Physiologically Constrained Sleep Staging3h◆Soft-Constrained Optimization of Latent Space in Variational Autoencoders3h◆Beyond Error-vs-Discard Characteristic: Toward Stable and Reliable Evaluation for Face Image Quality Assessment3h◆Photonic reservoir computing with complex networks3h◆Analyzing the Importance of Blank for CTC-Based Knowledge Distillation3h◆Predicting Channel Closures in the Lightning Network with Machine Learning3h◆Evaluation of Blood Vessel Segmentation Methods on Hard-to-Detect Vascular Structures3h◆MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback3h◆Cursor makes its biggest India push yet ahead of SpaceX acquisition with localized pricing2h◆Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents3h◆Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks3h◆The One-Word Census: Answer-Choice Conformity Across 44 Language Models3h◆Creative Integration: A Decidable Criterion of Creativity3h◆BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi3h◆Joint Optimization for Greedy Longest-match Tokenization3h◆Kimi K3: Open Frontier Intelligence3h◆The Few-shot Dilemma: Over-prompting Large Language Models3h◆Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism3h◆Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions3h◆Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram3h◆StageGuard: Physiologically Constrained Sleep Staging3h◆Soft-Constrained Optimization of Latent Space in Variational Autoencoders3h◆Beyond Error-vs-Discard Characteristic: Toward Stable and Reliable Evaluation for Face Image Quality Assessment3h◆Photonic reservoir computing with complex networks3h◆Analyzing the Importance of Blank for CTC-Based Knowledge Distillation3h◆Predicting Channel Closures in the Lightning Network with Machine Learning3h◆Evaluation of Blood Vessel Segmentation Methods on Hard-to-Detect Vascular Structures3h◆MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback3h◆
News/Analyzing the Importance of Blank for CTC-Based Knowledge Distillation
arxiv
PublishedJuly 28, 2026 at 4:00 AM

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2506.01503v2 Announce Type: replace Abstract: With the rise of large pre-trained foundation models for automatic speech recognition new challenges appear. While the performance of these models is good, runtime and cost of inference increases. One approach to make use of their strength while re

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivAgentic Permissions Policy Algebra for Taint Confinement in LLM Agents3harxivBeyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks3harxivThe One-Word Census: Answer-Choice Conformity Across 44 Language Models3harxivCreative Integration: A Decidable Criterion of Creativity3h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews