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FAQs about ずんだもんのHugging Faceニュース:How many episodes does ずんだもんのHugging Faceニュース have?The podcast currently has 50 episodes available.
March 08, 2026Daily AI Papers Briefing (2026-03-09)【本日の論文】1. MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier https://huggingface.co/papers/2603.037562. SkillNet: Create, Evaluate, and Connect AI Skills https://huggingface.co/papers/2603.044483. DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval https://huggingface.co/papers/2603.047434. AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios https://huggingface.co/papers/2602.231665. RoboPocket: Improve Robot Policies Instantly with Your Phone https://huggingface.co/papers/2603.05504...more4minPlay
March 07, 2026Daily AI Papers Briefing (2026-03-08)【本日の論文】1. MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier https://huggingface.co/papers/2603.037562. SkillNet: Create, Evaluate, and Connect AI Skills https://huggingface.co/papers/2603.044483. DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval https://huggingface.co/papers/2603.047434. AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios https://huggingface.co/papers/2602.231665. RoboPocket: Improve Robot Policies Instantly with Your Phone https://huggingface.co/papers/2603.05504...more6minPlay
March 06, 2026Daily AI Papers Briefing (2026-03-07)【本日の論文】1. MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier https://huggingface.co/papers/2603.037562. SkillNet: Create, Evaluate, and Connect AI Skills https://huggingface.co/papers/2603.044483. DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval https://huggingface.co/papers/2603.047434. RoboPocket: Improve Robot Policies Instantly with Your Phone https://huggingface.co/papers/2603.055045. AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios https://huggingface.co/papers/2602.23166...more4minPlay
March 05, 2026Daily AI Papers Briefing (2026-03-06)【本日の論文】1. Helios: Real Real-Time Long Video Generation Model https://huggingface.co/papers/2603.043792. T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning https://huggingface.co/papers/2603.037903. Heterogeneous Agent Collaborative Reinforcement Learning https://huggingface.co/papers/2603.026044. Proact-VL: A Proactive VideoLLM for Real-Time AI Companions https://huggingface.co/papers/2603.034475. MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning https://huggingface.co/papers/2603.03379...more4minPlay
March 04, 2026Daily AI Papers Briefing (2026-03-05)【本日の論文】1. Utonia: Toward One Encoder for All Point Clouds https://huggingface.co/papers/2603.032832. UniG2U-Bench: Do Unified Models Advance Multimodal Understanding? https://huggingface.co/papers/2603.032413. Beyond Language Modeling: An Exploration of Multimodal Pretraining https://huggingface.co/papers/2603.032764. BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? https://huggingface.co/papers/2603.031945. Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models https://huggingface.co/papers/2603.01571...more3minPlay
March 03, 2026Daily AI Papers Briefing (2026-03-04)【本日の論文】1. From Scale to Speed: Adaptive Test-Time Scaling for Image Editing https://huggingface.co/papers/2603.001412. OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens https://huggingface.co/papers/2603.021383. SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale https://huggingface.co/papers/2602.238664. RubricBench: Aligning Model-Generated Rubrics with Human Standards https://huggingface.co/papers/2603.015625. OpenAutoNLU: Open Source AutoML Library for NLU https://huggingface.co/papers/2603.01824...more4minPlay
March 02, 2026Daily AI Papers Briefing (2026-03-03)【本日の論文】1. dLLM: Simple Diffusion Language Modeling https://huggingface.co/papers/2602.226612. Enhancing Spatial Understanding in Image Generation via Reward Modeling https://huggingface.co/papers/2602.242333. Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets https://huggingface.co/papers/2602.222074. CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation https://huggingface.co/papers/2602.242865. Mode Seeking meets Mean Seeking for Fast Long Video Generation https://huggingface.co/papers/2602.24289...more4minPlay
March 01, 2026Daily AI Papers Briefing (2026-03-02)【本日の論文】1. The Trinity of Consistency as a Defining Principle for General World Models https://huggingface.co/papers/2602.231522. From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models https://huggingface.co/papers/2602.228593. MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios https://huggingface.co/papers/2602.226384. OmniGAIA: Towards Native Omni-Modal AI Agents https://huggingface.co/papers/2602.228975. Imagination Helps Visual Reasoning, But Not Yet in Latent Space https://huggingface.co/papers/2602.22766...more4minPlay
February 28, 2026Daily AI Papers Briefing (2026-03-01)【本日の論文】1. The Trinity of Consistency as a Defining Principle for General World Models https://huggingface.co/papers/2602.231522. From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models https://huggingface.co/papers/2602.228593. MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios https://huggingface.co/papers/2602.226384. OmniGAIA: Towards Native Omni-Modal AI Agents https://huggingface.co/papers/2602.228975. Imagination Helps Visual Reasoning, But Not Yet in Latent Space https://huggingface.co/papers/2602.22766...more4minPlay
February 27, 2026Daily AI Papers Briefing (2026-02-28)【本日の論文】1. The Trinity of Consistency as a Defining Principle for General World Models https://huggingface.co/papers/2602.231522. From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models https://huggingface.co/papers/2602.228593. MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios https://huggingface.co/papers/2602.226384. OmniGAIA: Towards Native Omni-Modal AI Agents https://huggingface.co/papers/2602.228975. Imagination Helps Visual Reasoning, But Not Yet in Latent Space https://huggingface.co/papers/2602.22766...more4minPlay
FAQs about ずんだもんのHugging Faceニュース:How many episodes does ずんだもんのHugging Faceニュース have?The podcast currently has 50 episodes available.