Month

    OKX Announces Listing of Aevo for Spot Trading, Expanding Derivatives Offerings
    OKX Announces Listing of Aevo for Spot Trading, Expanding Derivatives Offerings

    OKX has announced the listing of Aevo (AEVO), a derivatives-focused L2 platform, for spot trading, with the trading schedule starting …

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    Chatbot Arena: An Open Platform for Evaluating LLMs through Crowdsourced, Pairwise Human Preferences
    Chatbot Arena: An Open Platform for Evaluating LLMs through Crowdsourced, Pairwise Human Preferences

    The advent of large language models (LLMs) has ushered in a new era in computational linguistics, significantly extending the frontier …

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    Memeland (MEME) Launches Zero-Fee Social Staking Protocol Stakeland
    Memeland (MEME) Launches Zero-Fee Social Staking Protocol Stakeland

    Stakeland is introduced as a community-first social staking platform by Memeland, aiming to empower the $MEME ecosystem with zero fees. …

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    UNC-Chapel Hill Researchers Introduce Contrastive Region Guidance (CRG): A Training-Free Guidance AI Method that Enables Open-Source Vision-Language Models VLMs to Respond to Visual Prompts
    Unlocking Advanced Vision AI: The Transformative Power of Image World Models and Joint-Embedding Predictive Architectures
    Unlocking Advanced Vision AI: The Transformative Power of Image World Models and Joint-Embedding Predictive Architectures

    Computer vision researchers often focus on training powerful encoder networks for self-supervised learning (SSL) methods. These encoders generate image representations, …

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    Google AI Introduces Croissant: A Metadata Format for Machine Learning-Ready Datasets
    Google AI Introduces Croissant: A Metadata Format for Machine Learning-Ready Datasets

    When building machine learning (ML) models using preexisting datasets, experts in the field must first familiarize themselves with the data, …

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    This AI Paper from UCSD and ByteDance Proposes a Novel Machine Learning Framework for Filtering Image-Text Data by Leveraging Fine-Tuned Multimodal Language Models (MLMs)
    Exploration-Based Trajectory Optimization: Harnessing Success and Failure for Enhanced Autonomous Agent Learning
    Exploration-Based Trajectory Optimization: Harnessing Success and Failure for Enhanced Autonomous Agent Learning

    In artificial intelligence, large language models (LLMs) are a beacon of innovation, ushering in an era where autonomous agents can …

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    Enhancing Tool Usage in Large Language Models: The Path to Precision with Simulated Trial and Error
    Enhancing Tool Usage in Large Language Models: The Path to Precision with Simulated Trial and Error

    Developing large language models (LLMs) in artificial intelligence, such as OpenAI’s GPT series, marks a transformative era, bringing profound impacts …

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    INSTRUCTIR: A Novel Machine Learning Benchmark for Evaluating Instruction Following in Information Retrieval
    INSTRUCTIR: A Novel Machine Learning Benchmark for Evaluating Instruction Following in Information Retrieval

    Large Language Models (LLMs) have increasingly been fine-tuned to align with user preferences and instructions across various generative tasks. This …

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