·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Jensen Huang explains why Nvidia will grow an astounding 70% next year1h◆Mark Wahlberg is coming to TechCrunch Disrupt 2026, and he wants to talk about your work, not his1h◆OpenAI puts Pro subscriptions on hold due to Astra demand1h◆Anthropic details distillation campaigns from Alibaba, Moonshot AI, and DeepSeek1h◆Meta’s AI agent Muse is now the No. 2 app in the US3h◆Schools are catching on to Big Tech’s playbook3h◆Anthropic reveals rogue AI agents hate CAPTCHAs, just like you5h◆India’s Pocket FM doubles revenue run rate to $500M as AI powers 93% of audio content5h◆3 ways to prep for your next big race with Search6h◆How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules6h◆Universal Music is launching an AI music platform with ElevenLabs7h◆Now everyone can put data to work7h◆Meta’s Muse AI works and creeps me out7h◆AI agents are flooding public services with new requests8h◆Maven Robotics wants to steal your robot deployment deal8h◆Why the current tech backlash feels different8h◆Mathematicians want proof OpenAI didn’t use their work11h◆Powering AI is an architecture problem11h◆Expanding AI access and cyber defense for federal, state, local, and tribal governments15h◆Introducing ChatGPT for Financial Services15h◆Jensen Huang explains why Nvidia will grow an astounding 70% next year1h◆Mark Wahlberg is coming to TechCrunch Disrupt 2026, and he wants to talk about your work, not his1h◆OpenAI puts Pro subscriptions on hold due to Astra demand1h◆Anthropic details distillation campaigns from Alibaba, Moonshot AI, and DeepSeek1h◆Meta’s AI agent Muse is now the No. 2 app in the US3h◆Schools are catching on to Big Tech’s playbook3h◆Anthropic reveals rogue AI agents hate CAPTCHAs, just like you5h◆India’s Pocket FM doubles revenue run rate to $500M as AI powers 93% of audio content5h◆3 ways to prep for your next big race with Search6h◆How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules6h◆Universal Music is launching an AI music platform with ElevenLabs7h◆Now everyone can put data to work7h◆Meta’s Muse AI works and creeps me out7h◆AI agents are flooding public services with new requests8h◆Maven Robotics wants to steal your robot deployment deal8h◆Why the current tech backlash feels different8h◆Mathematicians want proof OpenAI didn’t use their work11h◆Powering AI is an architecture problem11h◆Expanding AI access and cyber defense for federal, state, local, and tribal governments15h◆Introducing ChatGPT for Financial Services15h◆
News/Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and Architectures
arxiv
PublishedApril 21, 2026 at 4:00 AM
—neutral

Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and Architectures

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

arXiv:2604.16042v2 Announce Type: cross Abstract: While Large Language Models (LLMs) have achieved strong performance across many NLP tasks, their opaque internal mechanisms hinder trustworthiness and safe deployment. Existing surveys in explainable AI largely focus on post-hoc explanation methods t

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 →
Tags
04
#explainability#nlp#research#transparency

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#explainability#nlp#research#transparency
The Bubble Brief
WEEKLY

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

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

Originally published on arxiv ↗
HomeModelsNews