Artificially Speaking

<p>This research paper investigates the effectiveness of ensembling different large language models (LLMs) to improve performance. The authors introduce Self-MoA, a method that aggregates multiple outputs from a single...

<p>This technical report introduces the Qwen2.5-1M series of large language models, significantly enhancing long-context capabilities (up to 1 million tokens) through novel training and inference techniques. Key...

<p>The Paper details the development and capabilities of MiniMax-01, a series of large language models (LLMs) and vision-language models (VLMs). Key features include superior long-context processing (up to 4 million...

<p>This research paper explores the development and evaluation of Process Reward Models (PRMs) for improving mathematical reasoning in Large Language Models (LLMs). The authors identify limitations in using Monte Carlo...

<p>This research paper explores using generative AI, specifically ChatGPT, to automate Test-Driven Development (TDD). The authors propose two interaction patterns: a collaborative approach where developers and AI work...

<p>The paper introduces rStar-Math, a novel method that significantly improves the mathematical reasoning capabilities of small language models (SLMs). It achieves this through a self-evolving process using Monte Carlo...

<p>Humanity's Last Exam (HLE) is a new, extremely difficult, multi-modal benchmark designed to evaluate large language models (LLMs). Created by a global team of experts, HLE features 3,000 questions spanning numerous...

<p>Researchers from Mondragon University and the University of Seville conducted a pre-deployment safety evaluation of OpenAI’s o3-mini large language model (LLM). They used their tool, ASTRAL, to automatically generate...

<p>This technical report details the development and evaluation of Kimi k1.5, a multi-modal large language model (LLM) trained using reinforcement learning (RL). The researchers emphasize a novel approach focusing on...

<p>A deep dive into the DeepSeek-R1: Reasoning via Reinforcement Learning research paper.</p> <p><br></p> <p>DeepSeek-R1, a large language model enhanced for reasoning capabilities through reinforcement learning (RL)...

<p>This research paper introduces Titans, a novel family of neural architectures designed to improve long-term memory in sequence modeling. </p> <p><br></p> <p>Titans incorporate a deep neural long-term memory module...