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Within the rapidly evolving terrain of artificial intelligence research, the notion of cultivating Large Language Models (LLMs) to self-improve and...

Reinforcement Learning (RL) has ascended to become one of the most vibrant and impactful fields in artificial intelligence (AI). Over...

Introduction and Context The academic paper, titled "Competitive Programming with Large Reasoning Models", presents compelling findings that illuminate how reinforcing...

TL;DR AI slop is a pejorative term for the vast amounts of low-quality, generative AI–produced content—ranging from text and images...

Introduction and Motivation Large language models (LLMs) have witnessed impressive strides in solving complex problems by emulating human-like reasoning through...

Introduction to Distillation Scaling Laws The work under discussion embarks on an ambitious journey to extend the framework of neural...

In the intriguing paper titled Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs, authored by Mantas Mazeika, Xuwang...

The paper, titled “Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations,” presents a comprehensive empirical...

Introduction and Motivation Traditional chain-of-thought (CoT) prompting has emerged as a powerful mechanism to guide large language models (LLMs) through...

In the arena of contemporary language model research, s1: Simple Test-Time Scaling meticulously chronicles an ambitious and innovative project: the...