·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning1h◆MSTN: A Lightweight and Fast Model for General TimeSeries Analysis1h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning1h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models1h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents1h◆GIPO: Gaussian Importance Sampling Policy Optimization1h◆Specialization of softmax attention heads: insights from the high-dimensional single-location model1h◆On the Robustness of Langevin Dynamics to Score Function Error1h◆Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning1h◆LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels1h◆From Causal Discovery to Dynamic Causal Inference in Neural Time Series1h◆Why Muon Outperforms Adam: A Curvature Perspective1h◆Vision Hopfield Memory Networks1h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies1h◆Algebraic Diversity: Group-Theoretic Spectral Estimation from Single Observations1h◆Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains1h◆SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling1h◆The Topological Trouble With Transformers1h◆Adaptive Head Budgeting for Efficient Multi-Head Attention1h◆Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs1h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning1h◆MSTN: A Lightweight and Fast Model for General TimeSeries Analysis1h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning1h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models1h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents1h◆GIPO: Gaussian Importance Sampling Policy Optimization1h◆Specialization of softmax attention heads: insights from the high-dimensional single-location model1h◆On the Robustness of Langevin Dynamics to Score Function Error1h◆Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning1h◆LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels1h◆From Causal Discovery to Dynamic Causal Inference in Neural Time Series1h◆Why Muon Outperforms Adam: A Curvature Perspective1h◆Vision Hopfield Memory Networks1h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies1h◆Algebraic Diversity: Group-Theoretic Spectral Estimation from Single Observations1h◆Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains1h◆SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling1h◆The Topological Trouble With Transformers1h◆Adaptive Head Budgeting for Efficient Multi-Head Attention1h◆Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs1h◆
News/The Last Fingerprint: How Markdown Training Shapes LLM Prose
arxiv
PublishedApril 1, 2026 at 4:00 AM
—neutral

The Last Fingerprint: How Markdown Training Shapes LLM Prose

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

arXiv:2603.27006v1 Announce Type: cross Abstract: Large language models produce em dashes at varying rates, and the observation that some models "overuse" them has become one of the most widely discussed markers of AI-generated text. Yet no mechanistic account of this pattern exists, and the paralle

Models mentioned
02
  • 01meta-llama logo
    Llama
    meta-llama/Llama
  • 02openai logo
    gpt-4
    openai/gpt-4
    0.0%IN $30.00/Mtok
Compare these 2 models→
Related
04
  • arxiv17d
    EmoMind: Decoding Affective Captions from Human Brain fMRI
  • arxiv25d
    End-to-end PDDL Planning with Hardcoded and Dynamic Agents
  • arxivApr 28
    ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection
  • arxivApr 21
    SatBLIP: Context Understanding and Feature Identification from Satellite Imagery with Vision-Language Learning
Stay posted· Newsletter

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

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

Discussion
Mentioned models
02
  • 01
    Llama
    meta-llama/Llama
  • 02
    gpt-4
    openai/gpt-4
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#language models#training data#fine-tuning#markdown
Mentioned companies
05
AnthropicOpenAIMetaGoogleDeepSeek

No replies yet. Be first.

Mentioned models
02
  • 01
    Llama
    meta-llama/Llama
  • 02
    gpt-4
    openai/gpt-4
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#language models#training data#fine-tuning#markdown
Mentioned companies
05
AnthropicOpenAIMetaGoogleDeepSeek

Related coverage

More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning1harxivMSTN: A Lightweight and Fast Model for General TimeSeries Analysis1harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning1harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models1h
The Bubble Brief
WEEKLY

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

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

Originally published on arxiv ↗
HomeModelsNews