From Context to Skills: Can Language Models Learn from Context Skillfully?
Paper • 2604.27660 • Published • 166
Maksym Riabov
MRiabov
AI & ML interests
LLMs and CV
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HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents
Paper • 2604.07430 • Published • 189
HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds
Paper • 2604.14268 • Published • 122
FORGE:Fine-grained Multimodal Evaluation for Manufacturing Scenarios
Paper • 2604.07413 • Published • 95
Adam's Law: Textual Frequency Law on Large Language Models
Paper • 2604.02176 • Published • 503
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning
Paper • 2604.02721 • Published • 630
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