Academic writing is one of the skills that students find most difficult to learn on the side. Particularly in bachelor's programs, precise and specific feedback is needed to turn initial drafts into ...

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

When your AI assistant calculates revenue, bonuses, VAT or financial summaries, it isn’t doing math. It’s telling a convincing story about numbers.

Abstract: Text summarization, which is the process of making a brief summary of text while preserving its overall meaning, is an important problem in Natural Language Processing (NLP). Automatic ...

PCWorld reports that ChatGPT 5.2 is now indexing Grokipedia, xAI’s AI-generated encyclopedia known for inaccuracies and conspiracy theories. This creates a concerning feedback loop where AI-generated ...

Multi-document abstractive summarization on the NewsSumm dataset (Indian English news). We explore whether document ordering matters for BART-based summarization by weighting articles based on ...

LLM-assisted manuscripts exhibit more complexity of the written word but are lower in research quality, according to a Policy Article by Keigo Kusumegi, Paul Ginsparg, and colleagues that sought to ...

The Washington-based startup launched the Nvidia H-100 GPU, which boasts 100 times the compute of other chips previously launched into orbit, CNBC reported on Wednesday. The company has been training ...

Where Winds Meet players are taking a novel approach to solving riddles by… simply telling the game's AI-powered chatbot NPCs that they have solved the game's riddles. The Wuxia open-world ...

Introduction and Demo This project focuses on abstractive text summarization using deep learning models. The goal is to generate concise summaries that retain the core content of the original text.

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...