Max Vance

mvance's activity

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

upvoted a paper 16 days ago

MT Forcing: Towards Stable and Consistent Multi-Turn Image Editing with Autoregressive Diffusion

Paper • 2610.25404 • Published 20 days ago • 40

upvoted a paper 17 days ago

Into the Unknown: Benchmarking AI agents on open scientific research problems

Paper • 2610.19159 • Published 25 days ago • 56

upvoted a paper 18 days ago

Player-1: Learning to Play from Synthetic Experience

Paper • 2610.20584 • Published 24 days ago • 56

upvoted a paper 20 days ago

Improving Proactive AI Assistance with Hierarchical Procedural Understanding

Paper • 2610.06505 • Published Oct 6 • 11

upvoted a paper 27 days ago

NeMo-DCR: Bit-Exact Delta-Compressed Refit for Scalable Agentic RL at Trillion-Parameter Scale

Paper • 2610.08430 • Published Oct 6 • 20

upvoted 3 papers about 1 month ago

Retrieval-Augmented Skill Optimization via Cross-Harness Adaptation

Paper • 2609.38024 • Published Sep 29 • 38

The Tasteful Agent: Measuring and Improving Taste in Long-Horizon Tasks

Paper • 2609.25804 • Published Sep 22 • 33

onPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction

Paper • 2609.24983 • Published Sep 21 • 40

upvoted 12 papers about 2 months ago

IntBMoE: Integrating Block-Level Conditioning into Expert Composition for Full-Participation Mixture-of-Experts

Paper • 2609.21346 • Published Sep 18 • 89

Calibrating Teacher--Student Discrepancy for On-Policy Distillation

Paper • 2609.21619 • Published Sep 18 • 8

UFO: Chain-of-Evaluation for Omni-Condition Alignment in Multi-Modal Image Generation

Paper • 2609.12397 • Published Sep 17 • 9

ModularRSI: Modular and Generalizable Recursive Harness Self-Improvement

Paper • 2609.14857 • Published Sep 14 • 56

Modality-Autoregressive World-Action Models

Paper • 2609.17524 • Published Sep 15 • 11

Dream-RSI: Recursive Self-Improvement through Evolving Worlds

Paper • 2609.14858 • Published Sep 14 • 143

Discovery Foundation Models: Toward Open-Ended Discovery Intelligence

Paper • 2609.15973 • Published Sep 14 • 30

World in World: Explore the World with World Models

Paper • 2609.11548 • Published Sep 10 • 11

Show-Harness: Just a VLM Agent Can Play Robots

Paper • 2609.10522 • Published Sep 9 • 100

Omni Interaction Agent Technical Report

Paper • 2609.08977 • Published Sep 8 • 72

An Empirical Study on Zero-Data Bootstrapping for Conversational Recommender Systems

Paper • 2504.15476 • Published Aug 28 • 2

Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation

Paper • 2609.08084 • Published Sep 8 • 60