Matthew Davis

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upvoted a paper 7 days ago

Generated Contents Enrichment

Paper • 2405.03650 • Published 14 days ago • 7

upvoted a paper 8 days ago

The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning

Paper • 2606.29526 • Published 16 days ago • 163

upvoted a paper 21 days ago

OpenRath: Session-Centered Runtime State for Agent Systems

Paper • 2606.19409 • Published 27 days ago • 78

upvoted a paper 24 days ago

LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies

Paper • 2606.15768 • Published 30 days ago • 4

upvoted 3 papers about 1 month ago

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention

Paper • 2605.29548 • Published May 28 • 12

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players

Paper • 2605.28816 • Published May 27 • 431

InstructSAM: Segment Any Instance with Any Instructions

Paper • 2605.26102 • Published May 25 • 18

upvoted 2 papers 3 months ago

ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers

Paper • 2603.24414 • Published Mar 25 • 183

ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling

Paper • 2603.25746 • Published Mar 26 • 155

upvoted 2 papers 4 months ago

AI Can Learn Scientific Taste

Paper • 2603.14473 • Published Mar 15 • 431

SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models

Paper • 2603.16859 • Published Mar 17 • 248