Large Language Models

GPT, Claude, Gemini, and other LLMs

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CLI for Google AI Search (gai.google) — run AI-powered code/tech searches headlessly from your terminal

Google AI (gai.google) gives Gemini-powered answers for technical queries — think AI-enhanced search with code understanding. I built a C...

Reddit - Artificial Intelligence · 1 min ·
Llms

Why are we blindly trusting AI companies with our data?

Lately I’ve been seeing a story floating around that really made me pause. Apparently, there were claims that the US government asked Ant...

Reddit - Artificial Intelligence · 1 min ·
De-aged casts, ChatGPT-generated programs: How AI is changing Korean TV
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De-aged casts, ChatGPT-generated programs: How AI is changing Korean TV

Artificial intelligence is transforming every corner of industry, and television is no exception. Major networks in Korea have recently a...

AI Tools & Products · 4 min ·

All Content

[2603.22966] Set-Valued Prediction for Large Language Models with Feasibility-Aware Coverage Guarantees
Llms

[2603.22966] Set-Valued Prediction for Large Language Models with Feasibility-Aware Coverage Guarantees

Abstract page for arXiv paper 2603.22966: Set-Valued Prediction for Large Language Models with Feasibility-Aware Coverage Guarantees

arXiv - AI · 4 min ·
[2603.22918] EVA: Efficient Reinforcement Learning for End-to-End Video Agent
Llms

[2603.22918] EVA: Efficient Reinforcement Learning for End-to-End Video Agent

Abstract page for arXiv paper 2603.22918: EVA: Efficient Reinforcement Learning for End-to-End Video Agent

arXiv - AI · 4 min ·
[2603.23159] Conformal Cross-Modal Active Learning
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[2603.23159] Conformal Cross-Modal Active Learning

Abstract page for arXiv paper 2603.23159: Conformal Cross-Modal Active Learning

arXiv - Machine Learning · 3 min ·
[2603.22911] ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling
Llms

[2603.22911] ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling

Abstract page for arXiv paper 2603.22911: ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via...

arXiv - AI · 4 min ·
[2603.23171] Robust Safety Monitoring of Language Models via Activation Watermarking
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[2603.23171] Robust Safety Monitoring of Language Models via Activation Watermarking

Abstract page for arXiv paper 2603.23171: Robust Safety Monitoring of Language Models via Activation Watermarking

arXiv - AI · 3 min ·
[2603.23136] HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature
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[2603.23136] HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature

Abstract page for arXiv paper 2603.23136: HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Liter...

arXiv - Machine Learning · 4 min ·
[2603.23057] Prompt Amplification and Zero-Shot Late Fusion in Audio-Language Models for Speech Emotion Recognition
Llms

[2603.23057] Prompt Amplification and Zero-Shot Late Fusion in Audio-Language Models for Speech Emotion Recognition

Abstract page for arXiv paper 2603.23057: Prompt Amplification and Zero-Shot Late Fusion in Audio-Language Models for Speech Emotion Reco...

arXiv - Machine Learning · 3 min ·
[2603.22868] Agent-Sentry: Bounding LLM Agents via Execution Provenance
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[2603.22868] Agent-Sentry: Bounding LLM Agents via Execution Provenance

Abstract page for arXiv paper 2603.22868: Agent-Sentry: Bounding LLM Agents via Execution Provenance

arXiv - AI · 4 min ·
[2603.22853] Agent Audit: A Security Analysis System for LLM Agent Applications
Llms

[2603.22853] Agent Audit: A Security Analysis System for LLM Agent Applications

Abstract page for arXiv paper 2603.22853: Agent Audit: A Security Analysis System for LLM Agent Applications

arXiv - AI · 4 min ·
[2603.23037] YOLOv10 with Kolmogorov-Arnold networks and vision-language foundation models for interpretable object detection and trustworthy multimodal AI in computer vision perception
Llms

[2603.23037] YOLOv10 with Kolmogorov-Arnold networks and vision-language foundation models for interpretable object detection and trustworthy multimodal AI in computer vision perception

Abstract page for arXiv paper 2603.23037: YOLOv10 with Kolmogorov-Arnold networks and vision-language foundation models for interpretable...

arXiv - AI · 4 min ·
[2603.22815] Focus, Don't Prune: Identifying Instruction-Relevant Regions for Information-Rich Image Understanding
Llms

[2603.22815] Focus, Don't Prune: Identifying Instruction-Relevant Regions for Information-Rich Image Understanding

Abstract page for arXiv paper 2603.22815: Focus, Don't Prune: Identifying Instruction-Relevant Regions for Information-Rich Image Underst...

arXiv - AI · 3 min ·
[2603.22908] Dual-Teacher Distillation with Subnetwork Rectification for Black-Box Domain Adaptation
Llms

[2603.22908] Dual-Teacher Distillation with Subnetwork Rectification for Black-Box Domain Adaptation

Abstract page for arXiv paper 2603.22908: Dual-Teacher Distillation with Subnetwork Rectification for Black-Box Domain Adaptation

arXiv - Machine Learning · 4 min ·
[2603.22779] KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao
Llms

[2603.22779] KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao

Abstract page for arXiv paper 2603.22779: KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao

arXiv - AI · 4 min ·
[2603.22765] DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-Persona
Llms

[2603.22765] DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-Persona

Abstract page for arXiv paper 2603.22765: DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-P...

arXiv - AI · 3 min ·
[2603.22816] When AI Shows Its Work, Is It Actually Working? Step-Level Evaluation Reveals Frontier Language Models Frequently Bypass Their Own Reasoning
Llms

[2603.22816] When AI Shows Its Work, Is It Actually Working? Step-Level Evaluation Reveals Frontier Language Models Frequently Bypass Their Own Reasoning

Abstract page for arXiv paper 2603.22816: When AI Shows Its Work, Is It Actually Working? Step-Level Evaluation Reveals Frontier Language...

arXiv - AI · 4 min ·
[2603.22714] PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset
Llms

[2603.22714] PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset

Abstract page for arXiv paper 2603.22714: PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representativ...

arXiv - AI · 3 min ·
[2603.22755] KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-Hoc Cooperative LLM Training
Llms

[2603.22755] KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-Hoc Cooperative LLM Training

Abstract page for arXiv paper 2603.22755: KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-H...

arXiv - AI · 3 min ·
[2603.22629] LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation
Llms

[2603.22629] LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation

Abstract page for arXiv paper 2603.22629: LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation

arXiv - AI · 4 min ·
[2603.22665] Improving LLM Predictions via Inter-Layer Structural Encoders
Llms

[2603.22665] Improving LLM Predictions via Inter-Layer Structural Encoders

Abstract page for arXiv paper 2603.22665: Improving LLM Predictions via Inter-Layer Structural Encoders

arXiv - Machine Learning · 3 min ·
[2603.22623] To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models
Llms

[2603.22623] To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models

Abstract page for arXiv paper 2603.22623: To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models

arXiv - AI · 4 min ·
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