Summary of the paper: “Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent…OPTIMA is a new approach that boosts the efficiency and effectiveness of large language model (LLM)-based multi-agent systems (MAS) by…Oct 15Oct 15
How I Achieved My First Follower on Medium: A Revolutionary JourneyThe Untold Story of Earning My First Follower on Medium and What It Means for the Future of HumanityOct 11Oct 11
Summary of the paper: “Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image…This paper introduces a new method called Rejection Sampling IMLE (RS-IMLE) to boost the performance of image generation models, especially…Oct 11Oct 11
Analysis of the paper: “Jailbreaking Large Language Models with Symbolic Mathematics”The paper introduces “MathPrompt,” a novel technique that exploits the advanced capabilities of large language models (LLMs) in symbolic…Oct 9Oct 9
Analysis of the paper: “Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on…This paper conducts a comprehensive survey on how to optimize the integration of external data into large language models (LLMs) to address…Oct 8Oct 8
Analysis of the paper “On the Diagram of Thought”The paper introduces the Diagram of Thought (DoT) framework, which models iterative reasoning in large language models (LLMs) through the…Oct 5Oct 5
Analysis of the paper: “Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large…The paper introduces the Iteration of Thought (IoT) framework, designed to enhance the reasoning abilities of large language models (LLMs)…Oct 3Oct 3
Analysis of the paper “LLMs Still Can’t Plan; Can LRMs?This paper evaluates OpenAI’s O1 (Strawberry) model and its performance in planning tasks compared to traditional large language models…Oct 1Oct 1
Summary of “Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models”arXiv, 2024Sep 29Sep 29
