Malik Roy

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upvoted 3 papers 5 days ago

HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?

Paper • 2609.01437 • Published Sep 1 • 569

ClawBench: Can AI Agents Complete Everyday Online Tasks?

Paper • 2604.08523 • Published Apr 9 • 378

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

Paper • 2607.12463 • Published Jul 14 • 158

upvoted a paper 8 days ago

Omni-IO Skills: Harnessing Your Agent Omni-Native

Paper • 2609.31847 • Published 13 days ago • 450

upvoted 2 papers about 1 month ago

HarnessEval-W: Agentifying the Evaluation of Visual Worlds

Paper • 2608.16859 • Published Aug 17 • 122

VGI-Bench: Probing Visual Intelligence in Video Generation Models

Paper • 2608.19583 • Published Aug 26 • 337

upvoted 2 papers about 2 months ago

The Next Screenshot Knows: Gated Hindsight Distillation for Mobile GUI Agents

Paper • 2608.06065 • Published Aug 6 • 8

Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA

Paper • 2608.09819 • Published Aug 10 • 180

upvoted 4 papers 2 months ago

ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow

Paper • 2607.28362 • Published Jul 30 • 23

TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAM

Paper • 2607.27205 • Published Jul 29 • 69

CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition

Paper • 2607.25294 • Published Jul 28 • 47

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey

Paper • 2607.21655 • Published Jul 22 • 112