Work Agents: Systems, Capabilities, and Optimization Paper • 2610.35845 • Published 11 days ago • 115
Deep Fusion Memory: A Chunk-Level Parametric Memory for Large Language Models Paper • 2610.25100 • Published 19 days ago • 48
Video-Arena: A Scalable Agentic Video Benchmark for Spatiotemporal Capability Paper • 2610.14158 • Published 28 days ago • 12
Scaling in Games: Continued Pre-Training For Embodied Agents In Diverse Virtual Worlds Paper • 2610.28698 • Published 17 days ago • 73
HarnessPro: Recursive Harness Self-Improvement with Pareto Optimization for Performance-Cost Trade-offs Paper • 2610.26770 • Published 18 days ago • 33
Can World and Action Modeling Benefit Each Other under Unified Causal Training? Paper • 2610.21095 • Published 22 days ago • 29
Rethinking World-Action Model for Compositional and In-Context Robotic Manipulation Paper • 2610.02368 • Published Oct 1 • 55
Work2Skill: Capturing Human GUI Experience for Reusable Agent Skill Induction Paper • 2610.12984 • Published 28 days ago • 40
Learning Multimodal Embeddings with Evidence-Aligned Readout Paper • 2609.33659 • Published Sep 27 • 11
Learning Multimodal Embeddings with Evidence-Aligned Readout Paper • 2609.33659 • Published Sep 27 • 11
AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing Paper • 2609.08936 • Published Sep 8 • 137
SnapBench: Benchmarking Snap-and-Ask Multimodal Retrieval for Mobile Interactions Paper • 2608.29607 • Published Aug 30 • 7
SnapBench: Benchmarking Snap-and-Ask Multimodal Retrieval for Mobile Interactions Paper • 2608.29607 • Published Aug 30 • 7 • 3
SnapBench: Benchmarking Snap-and-Ask Multimodal Retrieval for Mobile Interactions Paper • 2608.29607 • Published Aug 30 • 7