AI Papers Podcast

By: PocketPod
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  • Summary

  • A daily update on the latest AI Research Papers. We provide a high level overview of a handful of papers each day and will link all papers in the description for further reading. This podcast is created entirely with AI by PocketPod. Head over to https://pocketpod.app to learn more.
    PocketPod
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Episodes
  • Improving Agent Design, JPEG-LM's Visual Breakthrough, TurboEdit's Real-Time Image Edits, Video Segmentation Advances, LLMs Learning Like Humans, RL Benchmarks

    Improving Agent Design, JPEG-LM's Visual Breakthrough, TurboEdit's Real-Time Image Edits, Video Segmentation Advances, LLMs Learning Like Humans, RL Benchmarks
    Aug 21 2024
    xGen-MM (BLIP-3): A Family of Open Large Multimodal Models JPEG-LM: LLMs as Image Generators with Canonical Codec Representations Automated Design of Agentic Systems TurboEdit: Instant text-based image editing Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning Fine-tuning Large Language Models with Human-inspired Learning Strategies in Medical Question Answering D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
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    16 mins
  • Science & Clinical LLMs Leaps, Enhancing Small Model Reasoning, New Frontiers in Controlled Media Generation

    Science & Clinical LLMs Leaps, Enhancing Small Model Reasoning, New Frontiers in Controlled Media Generation
    Aug 16 2024
    The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery Med42-v2: A Suite of Clinical LLMs Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers ControlNeXt: Powerful and Efficient Control for Image and Video Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents
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    14 mins
  • Multimodal Benchmarks, Visual Task Transfer, and 3D Object Generation

    Multimodal Benchmarks, Visual Task Transfer, and 3D Object Generation
    Aug 8 2024
    MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models LLaVA-OneVision: Easy Visual Task Transfer An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Diffusion Models as Data Mining Tools
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    14 mins

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