Beomjun Bark

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upvoted 2 papers about 11 hours ago

SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning

Paper • 2607.14777 • Published 4 days ago • 93

VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding

Paper • 2607.14935 • Published 4 days ago • 151

upvoted 3 papers 4 days ago

Read It Back: Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image Generation

Paper • 2607.11886 • Published 7 days ago • 82

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models

Paper • 2607.12463 • Published 6 days ago • 106

Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation

Paper • 2607.05382 • Published 11 days ago • 86

upvoted 2 papers 6 days ago

Scalable Visual Pretraining for Language Intelligence

Paper • 2607.09657 • Published 10 days ago • 55

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading

Paper • 2607.08964 • Published 11 days ago • 74

upvoted 4 papers 7 days ago

Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing

Paper • 2607.07953 • Published 12 days ago • 14

UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks

Paper • 2607.08768 • Published 11 days ago • 34

Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation

Paper • 2607.08758 • Published 11 days ago • 39

Video-Oasis: Rethinking Evaluation of Video Understanding

Paper • 2603.29616 • Published 18 days ago • 64