Large Language Models

GPT, Claude, Gemini, and other LLMs

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Anthropic Expands Claude AI to Adobe, Blender and More Apps in Creative Push
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Anthropic Expands Claude AI to Adobe, Blender and More Apps in Creative Push

Anthropic is expanding Claude into Adobe, Blender, and other creative tools, enabling AI-assisted editing, asset handling, and workflow a...

AI Tools & Products · 4 min ·
I started using Claude instead of these 5 apps — and I'm not going back
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I started using Claude instead of these 5 apps — and I'm not going back

Claude replaced Grammarly, Adobe Acrobat, Perplexity, Notion, and Pocket in my daily workflow — here's what it does better, where it fall...

AI Tools & Products · 10 min ·
Sources: Anthropic could raise a new $50B round at a valuation of $900B | TechCrunch
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Sources: Anthropic could raise a new $50B round at a valuation of $900B | TechCrunch

The maker of Claude has received multiple pre-emptive offers at valuations in the $850 billion to $900 billion range, according to source...

TechCrunch - AI · 5 min ·

All Content

[2603.03637] Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions
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[2603.03637] Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions

Abstract page for arXiv paper 2603.03637: Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial I...

arXiv - AI · 3 min ·
[2603.03633] Goal-Driven Risk Assessment for LLM-Powered Systems: A Healthcare Case Study
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[2603.03633] Goal-Driven Risk Assessment for LLM-Powered Systems: A Healthcare Case Study

Abstract page for arXiv paper 2603.03633: Goal-Driven Risk Assessment for LLM-Powered Systems: A Healthcare Case Study

arXiv - AI · 4 min ·
[2603.04045] Inference-Time Toxicity Mitigation in Protein Language Models
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[2603.04045] Inference-Time Toxicity Mitigation in Protein Language Models

Abstract page for arXiv paper 2603.04045: Inference-Time Toxicity Mitigation in Protein Language Models

arXiv - AI · 3 min ·
[2603.03590] Social Norm Reasoning in Multimodal Language Models: An Evaluation
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[2603.03590] Social Norm Reasoning in Multimodal Language Models: An Evaluation

Abstract page for arXiv paper 2603.03590: Social Norm Reasoning in Multimodal Language Models: An Evaluation

arXiv - AI · 4 min ·
[2603.03585] Belief-Sim: Towards Belief-Driven Simulation of Demographic Misinformation Susceptibility
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[2603.03585] Belief-Sim: Towards Belief-Driven Simulation of Demographic Misinformation Susceptibility

Abstract page for arXiv paper 2603.03585: Belief-Sim: Towards Belief-Driven Simulation of Demographic Misinformation Susceptibility

arXiv - AI · 3 min ·
[2603.04028] A Multi-Dimensional Quality Scoring Framework for Decentralized LLM Inference with Proof of Quality
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[2603.04028] A Multi-Dimensional Quality Scoring Framework for Decentralized LLM Inference with Proof of Quality

Abstract page for arXiv paper 2603.04028: A Multi-Dimensional Quality Scoring Framework for Decentralized LLM Inference with Proof of Qua...

arXiv - AI · 4 min ·
[2603.03555] Molt Dynamics: Emergent Social Phenomena in Autonomous AI Agent Populations
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[2603.03555] Molt Dynamics: Emergent Social Phenomena in Autonomous AI Agent Populations

Abstract page for arXiv paper 2603.03555: Molt Dynamics: Emergent Social Phenomena in Autonomous AI Agent Populations

arXiv - AI · 4 min ·
[2603.03543] Tucano 2 Cool: Better Open Source LLMs for Portuguese
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[2603.03543] Tucano 2 Cool: Better Open Source LLMs for Portuguese

Abstract page for arXiv paper 2603.03543: Tucano 2 Cool: Better Open Source LLMs for Portuguese

arXiv - AI · 4 min ·
[2603.03541] RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering
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[2603.03541] RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering

Abstract page for arXiv paper 2603.03541: RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering

arXiv - AI · 3 min ·
[2603.03536] SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems
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[2603.03536] SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems

Abstract page for arXiv paper 2603.03536: SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems

arXiv - AI · 3 min ·
[2603.03946] Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models
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[2603.03946] Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models

Abstract page for arXiv paper 2603.03946: Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models

arXiv - Machine Learning · 4 min ·
[2603.03512] Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks
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[2603.03512] Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks

Abstract page for arXiv paper 2603.03512: Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks

arXiv - AI · 4 min ·
[2603.03508] Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi
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[2603.03508] Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi

Abstract page for arXiv paper 2603.03508: Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi

arXiv - AI · 3 min ·
[2603.03805] Relational In-Context Learning via Synthetic Pre-training with Structural Prior
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[2603.03805] Relational In-Context Learning via Synthetic Pre-training with Structural Prior

Abstract page for arXiv paper 2603.03805: Relational In-Context Learning via Synthetic Pre-training with Structural Prior

arXiv - AI · 3 min ·
[2603.03417] Parallel Test-Time Scaling with Multi-Sequence Verifiers
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[2603.03417] Parallel Test-Time Scaling with Multi-Sequence Verifiers

Abstract page for arXiv paper 2603.03417: Parallel Test-Time Scaling with Multi-Sequence Verifiers

arXiv - AI · 4 min ·
[2603.03415] Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs
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[2603.03415] Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs

Abstract page for arXiv paper 2603.03415: Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs

arXiv - AI · 4 min ·
[2603.03756] MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
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[2603.03756] MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier

Abstract page for arXiv paper 2603.03756: MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Ba...

arXiv - Machine Learning · 3 min ·
[2603.03410] On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation
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[2603.03410] On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation

Abstract page for arXiv paper 2603.03410: On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation

arXiv - AI · 4 min ·
[2603.03379] MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning
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[2603.03379] MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning

Abstract page for arXiv paper 2603.03379: MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning

arXiv - AI · 4 min ·
[2603.03612] Why Are Linear RNNs More Parallelizable?
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[2603.03612] Why Are Linear RNNs More Parallelizable?

Abstract page for arXiv paper 2603.03612: Why Are Linear RNNs More Parallelizable?

arXiv - Machine Learning · 4 min ·
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