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How an AI Agent Chooses What to Do Under Tokens, Latency, and Tool-Call Budget Constraints?

In this tutorial, we build a cost-aware planning agent that deliberately balances output quality against...

Hospital cyber attacks cost $600K/hour. Here’s how AI is changing the math

How Alberta Health Services is using advanced AI to bolster its defenses as attackers increasingly...

Hope Speech Detection in code-mixed Roman Urdu tweets: A Positive Turn in Natural Language Processing

arXiv:2506.21583v1 Announce Type: new Abstract: Hope is a positive emotional state involving the expectation of...

HIVMedQA: Benchmarking large language models for HIV medical decision support

arXiv:2507.18143v2 Announce Type: replace Abstract: Large language models (LLMs) are emerging as valuable tools to...

Hiring specialists made sense before AI — now generalists win

Tony Stoyanov is CTO and co-founder of EliseAI In the 2010s, tech companies chased staff-level...

HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution

arXiv:2604.17745v1 Announce Type: new Abstract: Recent advances in large language models have highlighted their potential...

HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation

arXiv:2505.16281v2 Announce Type: replace Abstract: The advancement of Large Language Models (LLMs) enables flexible and...

Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video Control

Key Takeaways: Researchers from Google DeepMind, the University of Michigan & Brown university have developed...

High-Entropy Token Selection in Reinforcement Learning with Verifiable Rewards (RLVR) Improves Accuracy and Reduces Training Cost for LLMs

Large Language Models (LLMs) generate step-by-step responses known as Chain-of-Thoughts (CoTs), where each token contributes...

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