Why do multi-agent LLM systems fail? Abstract Despite the growing enthusiasm for multi-agent systems (MAS), which consist of multiple LLM agents collaborating to complete tasks, their performance improvements in popular benchmark tests remain minimal compared to single-agent frameworks. This gap highlights the necessity of analyzing the challenges that hinder the efficiency of MAS. In this … Read more
1. Introduction to the Library In real life, many classification problems are not simple single-label classifications. For example, in news article classification, an article may belong to both the “Technology” and “Business” categories; in image tagging, a picture may contain multiple tags such as “Person”, “Landscape”, and “Animal”. Traditional single-label classification algorithms cannot effectively handle … Read more
The ‘Multi-Journal Submission’ ModelMay Become the Mainstream of Future JournalsMay Become the Mainstream of Future Journals Introduction In the traditional submission model, “Single-submission”, authors often have to go through a long and repetitive cycle: selecting a target journal, submitting the manuscript, waiting for initial review results, and if rejected, reselecting a journal, resubmitting, and waiting … Read more
Research Background image.png|550 Research Question The problem this paper aims to address is the minimal performance improvement of Multi-Agent Large Language Model (LLM) systems (referred to as MAS) compared to single-agent frameworks. Despite the potential of MAS in handling complex multi-step tasks and interacting with dynamic environments, their accuracy or performance improvements remain limited in … Read more
“Two Heads are Better Than One” (两个脑袋比一个好/双Agent更优) is an old saying in English. Researchers of the MAS-TTS framework have creatively applied this simple wisdom to LLMs, enabling multiple agents to collaborate like an expert think tank. Experimental data strongly demonstrates that in the face of complex problems, multi-agent systems achieve 60.0% performance, significantly outperforming single … Read more
——–· Introduction ·——– Emotion Support Conversation (ESC) is an emerging and challenging task aimed at alleviating emotional distress. Previous studies often struggle to maintain smooth transitions in dialogues due to their failure to capture fine-grained transition information in each turn of the conversation. To address this issue, this paper proposes modeling the turn-level state transitions … Read more
Please note, click on theblue text in the upper left corner and set it as a ⭐️ bookmark, so that every update can reach you on time without being drowned in the information flow! Using the built-in dog voice interface, MultiTTS (for Android) supports offline operation and provides a rich selection of voice options to … Read more
MultiTTS is currently the most comprehensive Android local offline voice app. Upon first launch, it is blank and requires manual import of voice package files. First, download <span>MultiTTS.apk</span>, then download the <span>voice package – offline package</span>, which includes various high-quality AI broadcaster voices. Click the three-dot button in the upper right corner of the interface, … Read more
Click the blue text to follow us Anesthesia is a critical aspect of many surgeries and examinations in pet medicine. Today, we will discuss the intravenous anesthetic agent used for dogs – Propofol (PropofolVet Multidose), helping pet owners gain a deeper understanding of this “behind-the-scenes hero” that protects the health of our furry friends. What … Read more
👉STM32CubeIDE Tutorial Collection Recently, my company received a lawyer’s letter from MDK, leaving us no choice but to use open-source or free IDE tools. Considering various factors, I ultimately decided to use the STM32CubeIDE provided by STMicroelectronics. I found that there are relatively few tutorials on CubeIDE available online, which inspired me to create a … Read more