Joshua Clark

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upvoted a paper 2 days ago

Learn2Play Bench: How Well Do LLM Agents Learn from Experience in Unfamiliar Environments?

Paper • 2610.08215 • Published 5 days ago • 138

upvoted a paper 27 days ago

Continual Learning Mechanisms Compose for Long-Horizon Memorization

Paper • 2609.06986 • Published Sep 7 • 376

upvoted a paper 30 days ago

Recursive Code World Models: Building Complex Worlds through Recursive Scene Programs

Paper • 2609.11499 • Published Sep 10 • 33

upvoted 3 papers about 1 month ago

Scaling Automatic Research Agents via World Models

Paper • 2608.12564 • Published Aug 29 • 489

Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space

Paper • 2608.29188 • Published Aug 29 • 11

RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests

Paper • 2608.27831 • Published Aug 31 • 33

upvoted 2 papers 2 months ago

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video?

Paper • 2608.05747 • Published Aug 6 • 48

OmniPack: Unified Token Compression for Efficient Omni-modal Large Language Models

Paper • 2608.03812 • Published Aug 4 • 29