Llms
It’s finally happened: I’m now worried about AI. And consulting ChatGPT did nothing to allay my fears | Emma Brockes
AI Tools & Products
·
5 min
·
Large Language Models
GPT, Claude, Gemini, and other LLMs
Top This Week
Llms
I matched Meta AI against ChatGPT and one clearly lives on the internet more
Muse Spark gives Meta AI an eye for what's trending and an instinct to influence
AI Tools & Products
·
10 min
·
Llms
Walmart’s AI Push Links Gemini App Experience With U.S. Manufacturing Shift
Walmart (NasdaqGS:WMT) is expanding its partnership with Google to integrate Gemini AI into the Walmart mobile app, aiming to support ins...
AI Tools & Products
·
6 min
·
All Content
![[2603.02512] Human-Certified Module Repositories for the AI Age](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Llms
[2603.02512] Human-Certified Module Repositories for the AI Age
Abstract page for arXiv paper 2603.02512: Human-Certified Module Repositories for the AI Age
arXiv - AI
·
3 min
·
Llms
[2603.03206] Understanding and Mitigating Dataset Corruption in LLM Steering
Abstract page for arXiv paper 2603.03206: Understanding and Mitigating Dataset Corruption in LLM Steering
arXiv - AI
·
4 min
·
Llms
[2603.02420] Slurry-as-a-Service: A Modest Proposal on Scalable Pluralistic Alignment for Nutrient Optimization
Abstract page for arXiv paper 2603.02420: Slurry-as-a-Service: A Modest Proposal on Scalable Pluralistic Alignment for Nutrient Optimization
arXiv - AI
·
4 min
·
Llms
[2603.03155] Information Routing in Atomistic Foundation Models: How Equivariance Creates Linearly Disentangled Representations
Abstract page for arXiv paper 2603.03155: Information Routing in Atomistic Foundation Models: How Equivariance Creates Linearly Disentang...
arXiv - AI
·
4 min
·
Llms
[2603.02297] ZeroDayBench: Evaluating LLM Agents on Unseen Zero-Day Vulnerabilities for Cyberdefense
Abstract page for arXiv paper 2603.02297: ZeroDayBench: Evaluating LLM Agents on Unseen Zero-Day Vulnerabilities for Cyberdefense
arXiv - AI
·
3 min
·
Llms
[2603.02345] RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection
Abstract page for arXiv paper 2603.02345: RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection
arXiv - AI
·
4 min
·
Llms
[2603.03031] Step-Level Sparse Autoencoder for Reasoning Process Interpretation
Abstract page for arXiv paper 2603.03031: Step-Level Sparse Autoencoder for Reasoning Process Interpretation
arXiv - Machine Learning
·
4 min
·
Llms
[2603.02277] Quantifying Frontier LLM Capabilities for Container Sandbox Escape
Abstract page for arXiv paper 2603.02277: Quantifying Frontier LLM Capabilities for Container Sandbox Escape
arXiv - AI
·
3 min
·
Llms
[2603.03000] Why Does RLAIF Work At All?
Abstract page for arXiv paper 2603.03000: Why Does RLAIF Work At All?
arXiv - AI
·
3 min
·
Llms
[2603.02266] When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning
Abstract page for arXiv paper 2603.02266: When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware ...
arXiv - AI
·
4 min
·
Llms
[2603.02262] Silent Sabotage During Fine-Tuning: Few-Shot Rationale Poisoning of Compact Medical LLMs
Abstract page for arXiv paper 2603.02262: Silent Sabotage During Fine-Tuning: Few-Shot Rationale Poisoning of Compact Medical LLMs
arXiv - Machine Learning
·
3 min
·
Llms
[2603.02951] CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning
Abstract page for arXiv paper 2603.02951: CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning
arXiv - Machine Learning
·
4 min
·
Llms
[2603.02938] Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models
Abstract page for arXiv paper 2603.02938: Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large L...
arXiv - AI
·
4 min
·
Llms
[2603.02913] Eliciting Numerical Predictive Distributions of LLMs Without Autoregression
Abstract page for arXiv paper 2603.02913: Eliciting Numerical Predictive Distributions of LLMs Without Autoregression
arXiv - AI
·
3 min
·
Llms
[2603.02840] Adapting Time Series Foundation Models through Data Mixtures
Abstract page for arXiv paper 2603.02840: Adapting Time Series Foundation Models through Data Mixtures
arXiv - Machine Learning
·
4 min
·
Llms
[2603.02792] From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors
Abstract page for arXiv paper 2603.02792: From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors
arXiv - Machine Learning
·
3 min
·
Llms
[2603.02675] From Shallow to Deep: Pinning Semantic Intent via Causal GRPO
Abstract page for arXiv paper 2603.02675: From Shallow to Deep: Pinning Semantic Intent via Causal GRPO
arXiv - Machine Learning
·
3 min
·
Llms
[2504.21023] Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
Abstract page for arXiv paper 2504.21023: Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
arXiv - AI
·
4 min
·
Llms
[2603.03258] Inherited Goal Drift: Contextual Pressure Can Undermine Agentic Goals
Abstract page for arXiv paper 2603.03258: Inherited Goal Drift: Contextual Pressure Can Undermine Agentic Goals
arXiv - AI
·
4 min
·
Llms
[2603.02635] SaFeR-ToolKit: Structured Reasoning via Virtual Tool Calling for Multimodal Safety
Abstract page for arXiv paper 2603.02635: SaFeR-ToolKit: Structured Reasoning via Virtual Tool Calling for Multimodal Safety
arXiv - Machine Learning
·
4 min
·
Related Topics
Stay updated with AI News
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime