XLANG-inner

agnet's activity

• All
• Models
• Datasets
• Spaces
• Buckets
• Papers
• Collections
• Community
• Posts
• Articles

RadioBlue 

authored 4 papers 2 days ago

CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists

Paper • 2605.26029 • Published May 28 • 18

EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions

Paper • 2606.23654 • Published Jun 22 • 80

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?

Paper • 2606.24530 • Published Jun 23 • 65

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering

Paper • 2607.28568 • Published 7 days ago • 180

MillanK 

authored a paper 8 days ago

Kimi K3: Open Frontier Intelligence

Paper • 2607.24653 • Published 10 days ago • 468

MillanK 

authored a paper 9 days ago

OSWorld2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks

Paper • 2606.29537 • Published Jun 28 • 24

tianbaoxiexxx 

authored 5 papers 2 months ago

OS-MAP: How Far Can Computer-Using Agents Go in Breadth and Depth?

Paper • 2507.19132 • Published Jul 25, 2025

Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents

Paper • 2510.24702 • Published Oct 28, 2025 • 32

OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use Agents

Paper • 2510.24563 • Published Oct 28, 2025 • 23

Qwen3-VL Technical Report

Paper • 2511.21631 • Published Nov 26, 2025 • 164

RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System

Paper • 2602.02488 • Published Feb 2 • 36

ZeonLap 

authored a paper 2 months ago

CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents

Paper • 2605.25624 • Published May 25 • 35

tianbaoxiexxx 

authored a paper 2 months ago

CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents

Paper • 2605.25624 • Published May 25 • 35

RadioBlue 

authored 2 papers 3 months ago

MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

Paper • 2605.08678 • Published May 9 • 9

Post-Trained MoE Can Skip Half Experts via Self-Distillation

Paper • 2605.18643 • Published May 18 • 30

ZeonLap 

authored a paper 3 months ago

CocoaBench: Evaluating Unified Digital Agents in the Wild

Paper • 2604.11201 • Published Apr 13 • 37

MillanK 

authored a paper 4 months ago

Kimi K2.5: Visual Agentic Intelligence

Paper • 2602.02276 • Published Feb 2 • 280

ZeonLap 

authored a paper 5 months ago

VideoAgentTrek: Computer Use Pretraining from Unlabeled Videos

Paper • 2510.19488 • Published Oct 22, 2025 • 22

RadioBlue 

authored 2 papers 5 months ago

VideoAgentTrek: Computer Use Pretraining from Unlabeled Videos

Paper • 2510.19488 • Published Oct 22, 2025 • 22

How Far Can Unsupervised RLVR Scale LLM Training?

Paper • 2603.08660 • Published Mar 9 • 60