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Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows...

Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.Read More

LLMs have demonstrated exceptional performance across multiple tasks by utilizing few-shot inference, also known as in-context learning (ICL). The main...

The move underscores Meta’s strategy of spending aggressively now to secure a dominant position in what it views as the...

Advancements in artificial intelligence are rapidly closing the gap between digital reasoning and real-world interaction. At the forefront of this...
arXiv:2507.18263v1 Announce Type: new Abstract: Direct speech translation (ST) has garnered increasing attention nowadays, yet the accurate translation of terminology...
arXiv:2507.18043v1 Announce Type: new Abstract: Inference-time steering methods offer a lightweight alternative to fine-tuning large language models (LLMs) and vision-language...
arXiv:2507.18580v1 Announce Type: new Abstract: This paper presents our system for CCL25-Eval Task 10, addressing Fine-Grained Chinese Hate Speech Recognition...
arXiv:2406.12548v3 Announce Type: replace Abstract: Personalized large language models (LLMs) have attracted great attention in many applications, such as emotional...
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