Maksym Riabov

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upvoted a paper 21 days ago

Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution

Paper • 2606.06492 • Published 25 days ago • 95

upvoted 2 papers 22 days ago

KVarN: Variance-Normalized KV-Cache Quantization Mitigates Error Accumulation in Reasoning Tasks

Paper • 2606.03458 • Published 27 days ago • 67

Cosmos 3: Omnimodal World Models for Physical AI

Paper • 2606.02800 • Published 28 days ago • 136

upvoted a paper about 1 month ago

From Context to Skills: Can Language Models Learn from Context Skillfully?

Paper • 2604.27660 • Published May 3 • 171

upvoted 5 papers 2 months ago

HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents

Paper • 2604.07430 • Published Apr 8 • 181

HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds

Paper • 2604.14268 • Published Apr 15 • 127

FORGE:Fine-grained Multimodal Evaluation for Manufacturing Scenarios

Paper • 2604.07413 • Published Apr 8 • 97

Adam's Law: Textual Frequency Law on Large Language Models

Paper • 2604.02176 • Published Apr 2 • 509

GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning

Paper • 2604.02721 • Published Apr 3 • 638

upvoted 6 papers 3 months ago

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models

Paper • 2604.04707 • Published Apr 6 • 204

Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models

Paper • 2603.25716 • Published Mar 26 • 157

InCoder-32B: Code Foundation Model for Industrial Scenarios

Paper • 2603.16790 • Published Mar 17 • 312

Demystifing Video Reasoning

Paper • 2603.16870 • Published Mar 17 • 373

PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost

Paper • 2603.21383 • Published Mar 22 • 19

Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model

Paper • 2603.21986 • Published Mar 23 • 125

upvoted 5 papers 4 months ago

Mobile-GS: Real-time Gaussian Splatting for Mobile Devices

Paper • 2603.11531 • Published Mar 12 • 10

UltraDexGrasp: Learning Universal Dexterous Grasping for Bimanual Robots with Synthetic Data

Paper • 2603.05312 • Published Mar 5 • 7

SageBwd: A Trainable Low-bit Attention

Paper • 2603.02170 • Published Mar 2 • 19

MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier

Paper • 2603.03756 • Published Mar 4 • 90

A Very Big Video Reasoning Suite

Paper • 2602.20159 • Published Feb 23 • 526