·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI16m◆Kevin O’Leary agrees to downsize massive Utah data center36m◆Meta rolls out a new AI creator assistant on Facebook2h◆What to expect from WWDC 2026: Siri’s highly anticipated revamp and Apple Intelligence updates2h◆Is Silicon Valley ready to put robots in people’s homes? Hello Robot is.4h◆TSMC struggles to keep up with AI demand: ‘We can only support so much’4h◆Apple touts $1.4 trillion in App Store billings and sales, 90% without a commission5h◆Elon Musk is steamrolling Wall Street to become a trillionaire5h◆How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent6h◆Let us filter AI slop, you cowards6h◆EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios6h◆AI leaders call for tougher protections against AI-aided bioweapons7h◆How Endava is redesigning software delivery around AI agents7h◆Task-Seeded Synthetic Q&A Generation for Nemotron Pretraining7h◆How courts are coping with a flood of AI-generated lawsuits8h◆Amazon develops a warehouse robot that workers can speak to9h◆Dreaming: Better memory for a more helpful ChatGPT10h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning15h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning15h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models15h◆Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI16m◆Kevin O’Leary agrees to downsize massive Utah data center36m◆Meta rolls out a new AI creator assistant on Facebook2h◆What to expect from WWDC 2026: Siri’s highly anticipated revamp and Apple Intelligence updates2h◆Is Silicon Valley ready to put robots in people’s homes? Hello Robot is.4h◆TSMC struggles to keep up with AI demand: ‘We can only support so much’4h◆Apple touts $1.4 trillion in App Store billings and sales, 90% without a commission5h◆Elon Musk is steamrolling Wall Street to become a trillionaire5h◆How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent6h◆Let us filter AI slop, you cowards6h◆EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios6h◆AI leaders call for tougher protections against AI-aided bioweapons7h◆How Endava is redesigning software delivery around AI agents7h◆Task-Seeded Synthetic Q&A Generation for Nemotron Pretraining7h◆How courts are coping with a flood of AI-generated lawsuits8h◆Amazon develops a warehouse robot that workers can speak to9h◆Dreaming: Better memory for a more helpful ChatGPT10h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning15h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning15h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models15h◆
News/Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning
arxiv
PublishedMay 22, 2026 at 4:00 AM
—neutral

Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning

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

arXiv:2401.00139v3 Announce Type: replace-cross Abstract: This paper introduces a causal attribution model to enhance the interpretability of large language models (LLMs) and improve their causal reasoning abilities via precise fine-tuning. Despite LLMs' proficiency in diverse tasks, their reasoning

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 Pruning15harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning15harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models15h
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