Notizie
How Much Can We Forget about Data Contamination?
arXiv:2410.03249v4 Announce Type: replace-cross Abstract: The leakage of benchmark data into the training data has...
How Many Parameters Does Your Task Really Need? Task Specific Pruning with LLM-Sieve
arXiv:2505.18350v2 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) are increasingly deployed for narrow...
How Intuit killed the chatbot crutch – and built an agentic AI playbook you can copy
This is the inside story of Intuit’s transformation journey with AI — including a grueling...
How Do LLMs Really Reason? A Framework to Separate Logic from Knowledge
Unpacking Reasoning in Modern LLMs: Why Final Answers Aren’t Enough Recent advancements in reasoning-focused LLMs...
How do AI models generate videos?
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to...
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...
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...
High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning
arXiv:2506.04051v1 Announce Type: new Abstract: Large Language Models (LLMs) currently respond to every prompt. However...
