Large Language Models

GPT, Claude, Gemini, and other LLMs

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Gemini gets notebooks to help you organize projects | The Verge
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Gemini gets notebooks to help you organize projects | The Verge

Google’s Gemini is getting a feature called “notebooks” to help you organize things about certain topics in a single place while using th...

The Verge - AI · 3 min ·
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AWS and Anthropic Advancing AI-powered Cybersecurity With Claude Mythos

The page is currently inaccessible due to a 403 Forbidden error.

AI News - General · 1 min ·
Anthropic Supply-Chain Risk Label Should Stay in Place, Appeals Court Says | WIRED
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Anthropic Supply-Chain Risk Label Should Stay in Place, Appeals Court Says | WIRED

The AI company now faces conflicting rulings in its fight over how Claude can be used by the US military.

Wired - AI · 6 min ·

All Content

[2603.04894] Differentially Private Multimodal In-Context Learning
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[2603.04894] Differentially Private Multimodal In-Context Learning

Abstract page for arXiv paper 2603.04894: Differentially Private Multimodal In-Context Learning

arXiv - AI · 3 min ·
[2603.04868] K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory Generation
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[2603.04868] K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory Generation

Abstract page for arXiv paper 2603.04868: K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory ...

arXiv - AI · 3 min ·
[2603.04837] Design Behaviour Codes (DBCs): A Taxonomy-Driven Layered Governance Benchmark for Large Language Models
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[2603.04837] Design Behaviour Codes (DBCs): A Taxonomy-Driven Layered Governance Benchmark for Large Language Models

Abstract page for arXiv paper 2603.04837: Design Behaviour Codes (DBCs): A Taxonomy-Driven Layered Governance Benchmark for Large Languag...

arXiv - AI · 4 min ·
[2603.04822] VISA: Value Injection via Shielded Adaptation for Personalized LLM Alignment
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[2603.04822] VISA: Value Injection via Shielded Adaptation for Personalized LLM Alignment

Abstract page for arXiv paper 2603.04822: VISA: Value Injection via Shielded Adaptation for Personalized LLM Alignment

arXiv - AI · 4 min ·
[2603.04818] LLM-Grounded Explainability for Port Congestion Prediction via Temporal Graph Attention Networks
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[2603.04818] LLM-Grounded Explainability for Port Congestion Prediction via Temporal Graph Attention Networks

Abstract page for arXiv paper 2603.04818: LLM-Grounded Explainability for Port Congestion Prediction via Temporal Graph Attention Networks

arXiv - AI · 4 min ·
[2603.04791] Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling
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[2603.04791] Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

Abstract page for arXiv paper 2603.04791: Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

arXiv - AI · 4 min ·
[2603.04783] Breaking Contextual Inertia: Reinforcement Learning with Single-Turn Anchors for Stable Multi-Turn Interaction
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[2603.04783] Breaking Contextual Inertia: Reinforcement Learning with Single-Turn Anchors for Stable Multi-Turn Interaction

Abstract page for arXiv paper 2603.04783: Breaking Contextual Inertia: Reinforcement Learning with Single-Turn Anchors for Stable Multi-T...

arXiv - AI · 4 min ·
[2603.04751] Evaluating the Search Agent in a Parallel World
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[2603.04751] Evaluating the Search Agent in a Parallel World

Abstract page for arXiv paper 2603.04751: Evaluating the Search Agent in a Parallel World

arXiv - AI · 4 min ·
[2603.04750] HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel
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[2603.04750] HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel

Abstract page for arXiv paper 2603.04750: HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel

arXiv - AI · 3 min ·
[2603.04741] CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics
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[2603.04741] CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics

Abstract page for arXiv paper 2603.04741: CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics

arXiv - Machine Learning · 3 min ·
[2603.04735] Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery
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[2603.04735] Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery

Abstract page for arXiv paper 2603.04735: Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery

arXiv - AI · 4 min ·
[2603.04670] Using Vision + Language Models to Predict Item Difficulty
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[2603.04670] Using Vision + Language Models to Predict Item Difficulty

Abstract page for arXiv paper 2603.04670: Using Vision + Language Models to Predict Item Difficulty

arXiv - AI · 3 min ·
[2603.04636] When Agents Persuade: Propaganda Generation and Mitigation in LLMs
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[2603.04636] When Agents Persuade: Propaganda Generation and Mitigation in LLMs

Abstract page for arXiv paper 2603.04636: When Agents Persuade: Propaganda Generation and Mitigation in LLMs

arXiv - AI · 3 min ·
[2603.04631] Towards automated data analysis: A guided framework for LLM-based risk estimation
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[2603.04631] Towards automated data analysis: A guided framework for LLM-based risk estimation

Abstract page for arXiv paper 2603.04631: Towards automated data analysis: A guided framework for LLM-based risk estimation

arXiv - AI · 3 min ·
[2603.04589] ECG-MoE: Mixture-of-Expert Electrocardiogram Foundation Model
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[2603.04589] ECG-MoE: Mixture-of-Expert Electrocardiogram Foundation Model

Abstract page for arXiv paper 2603.04589: ECG-MoE: Mixture-of-Expert Electrocardiogram Foundation Model

arXiv - AI · 3 min ·
[2603.04582] Self-Attribution Bias: When AI Monitors Go Easy on Themselves
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[2603.04582] Self-Attribution Bias: When AI Monitors Go Easy on Themselves

Abstract page for arXiv paper 2603.04582: Self-Attribution Bias: When AI Monitors Go Easy on Themselves

arXiv - Machine Learning · 4 min ·
[2603.04549] Adaptive Memory Admission Control for LLM Agents
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[2603.04549] Adaptive Memory Admission Control for LLM Agents

Abstract page for arXiv paper 2603.04549: Adaptive Memory Admission Control for LLM Agents

arXiv - AI · 4 min ·
[2603.04514] Progressive Refinement Regulation for Accelerating Diffusion Language Model Decoding
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[2603.04514] Progressive Refinement Regulation for Accelerating Diffusion Language Model Decoding

Abstract page for arXiv paper 2603.04514: Progressive Refinement Regulation for Accelerating Diffusion Language Model Decoding

arXiv - AI · 3 min ·
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[R] Anyone experimenting with heterogeneous (different base LLMs) multi-agent systems for open-ended scientific reasoning or hypothesis generation?

Quick question — has anyone tried multi-agent setups where agents use genuinely different underlying LLMs (not just roles on the same mod...

Reddit - Machine Learning · 1 min ·
OpenAI’s new GPT-5.4 model is a big step toward autonomous agents
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OpenAI’s new GPT-5.4 model is a big step toward autonomous agents

OpenAI is launching GPT-5.4, the latest version of its AI model that the company says combines advancements in reasoning, coding, and pro...

The Verge - AI · 5 min ·
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