·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Mira Murati steps back into the spotlight, carefully5h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning6h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning6h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models6h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents6h◆Why Muon Outperforms Adam: A Curvature Perspective6h◆Vision Hopfield Memory Networks6h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies6h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment6h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations6h◆q0: Primitives for Hyper-Epoch Pretraining6h◆Curvature-aware dynamic precision approach for physics-informed neural networks6h◆Rethinking LoRA Memory Through the Lens of KV Cache Compression6h◆The Generator-Eraser Paradox: Community Guidelines for Responsible LLM-Assisted Dialect Resource Creation6h◆Contextualized Prompting For Stance Detection On Social Media6h◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach6h◆Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems6h◆SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation6h◆AgenticDiffusion: Agentic Diffusion-based Path Planning for Vision-Based UAV Navigation6h◆Widening the Gap: Exploiting LLM Quantization via Outlier Injection6h◆Mira Murati steps back into the spotlight, carefully5h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning6h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning6h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models6h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents6h◆Why Muon Outperforms Adam: A Curvature Perspective6h◆Vision Hopfield Memory Networks6h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies6h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment6h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations6h◆q0: Primitives for Hyper-Epoch Pretraining6h◆Curvature-aware dynamic precision approach for physics-informed neural networks6h◆Rethinking LoRA Memory Through the Lens of KV Cache Compression6h◆The Generator-Eraser Paradox: Community Guidelines for Responsible LLM-Assisted Dialect Resource Creation6h◆Contextualized Prompting For Stance Detection On Social Media6h◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach6h◆Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems6h◆SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation6h◆AgenticDiffusion: Agentic Diffusion-based Path Planning for Vision-Based UAV Navigation6h◆Widening the Gap: Exploiting LLM Quantization via Outlier Injection6h◆
News/KazByte: Adapting Qwen models to Kazakh via Byte-level Adapter
arxiv
PublishedMarch 31, 2026 at 4:00 AM

KazByte: Adapting Qwen models to Kazakh via Byte-level Adapter

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

arXiv:2603.27859v1 Announce Type: new Abstract: Large language models fragment Kazakh text into many more tokens than equivalent English text, because their tokenizers were built for high-resource languages. This tokenizer tax inflates compute, shortens the effective context window, and weakens the

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
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning6harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning6harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models6harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents6h
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