Year: 2025

ESMO: DS-8201 Advances in Second-Line Treatment for HER2-Positive Gastric Cancer

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ESMO: DS-8201 Advances in Second-Line Treatment for HER2-Positive Gastric Cancer

On September 10, 2022, updated data from the open-label, multicenter Phase II DESTINY-Gastric02 study were presented at the ESMO conference, showing that DS-8201 demonstrated sustained clinical benefits and acceptable safety in patients with locally advanced or metastatic HER2-positive gastric cancer or gastroesophageal junction (GEJ) cancer who had previously received trastuzumab-based therapy. The study included 79 … Read more

The Shift to Integrated Architecture in Automotive: The Rise of Domestic Automotive MCUs

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The selection of chips under the integrated architecture (central + regional architecture) has shifted from a single performance competition to a systematic design. Engineers need to break free from traditional thinking, starting from the overall vehicle architecture, balancing the centralization of computing power with the distributed needs of regional control.With the advent of the smart … Read more

Why Do Multi-Agent LLM Systems Fail?

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Why Do Multi-Agent LLM Systems Fail?

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

scikit-multilearn: A Python Library for Multi-Label Classification!

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scikit-multilearn: A Python Library for Multi-Label Classification!

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’ Model May Become the Mainstream of Future Journals

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The 'Multi-Journal Submission' Model May Become the Mainstream of Future Journals

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

Why Multi-Agent Systems Will Ultimately Fail? (Berkeley Paper)

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Why Multi-Agent Systems Will Ultimately Fail? (Berkeley Paper)

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: The Adaptive Multi-Agent Framework M500 Achieves a 41% Improvement

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Two Heads are Better Than One: The Adaptive Multi-Agent Framework M500 Achieves a 41% Improvement

“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

MultiESC: A Forward-Looking Heuristic Strategy for Strategy Planning and User State Modeling to Address Multi-Turn Dialogue Challenges

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MultiESC: A Forward-Looking Heuristic Strategy for Strategy Planning and User State Modeling to Address Multi-Turn Dialogue Challenges

——–· 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

Built-in Dog Interface: MultiTTS (Android) Available Offline with a Wealth of Voice Options!

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Built-in Dog Interface: MultiTTS (Android) Available Offline with a Wealth of Voice Options!

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

Resource Sharing 21 – MultiTTS Android Offline Voice

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Resource Sharing 21 - MultiTTS Android Offline Voice

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