Abstract: Image-text retrieval has made remarkable achievements through the development of feature extraction networks and model architectures. However, almost all region feature-based methods face ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Chinese AI startup DeepSeek on Tuesday released a research paper and open-sourced its latest optical character recognition (OCR) model, DeepSeek-OCR 2, aiming to improve how machines interpret and ...

Children with developmental language disorder (DLD) can be difficult to diagnose, despite the condition being more prevalent than autism spectrum disorder, representing roughly 7.5% of 5-year-olds in ...

PaTH Attention improved perplexity and outcompeted other methods on reasoning benchmarks it wasn't trained on. They also evaluated retrieval, reasoning, and stability with inputs of tens of thousands ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Assistant Professor of Biomolecular Engineering Tal Sharf holds up a specialized chip for recording electrical activity in brain organoids. Artificial intelligence (AI) has proven its incredible ...

Believe it or not, emotional reasoning is neither rare nor uncommon. It is present when we feel jealous and conclude that our partner is cheating on us, with no reason or evidence to back this ...

Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates ...

In this tutorial, we walk through the implementation of an Agentic Retrieval-Augmented Generation (RAG) system. We design it so that the agent does more than just retrieve documents; it actively ...

REX-RAG is a reinforcement learning framework for Retrieval-Augmented Generation that escapes reasoning dead ends through a mixed sampling strategy and maintains stable policy learning via a ...