Shuaiyu Zhang

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upvoted a collection 11 days ago

Agents-A1

Collection

Agents-A1 is a Long-horizon Agentic Model that reaches trillion-parameter-level performance by scaling the agent horizon. • 12 items • Updated 10 days ago • 35

upvoted a paper 26 days ago

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

Paper • 2606.30616 • Published 27 days ago • 103

upvoted a paper about 2 months ago

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery

Paper • 2606.06473 • Published Jun 4 • 21

upvoted a paper 4 months ago

MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale

Paper • 2604.04771 • Published Apr 6 • 125

upvoted a paper 6 months ago

InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery

Paper • 2602.08990 • Published Feb 9 • 84

upvoted a paper 12 months ago

MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification

Paper • 2507.20254 • Published Jul 27, 2025 • 21

upvoted 3 papers about 1 year ago

OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion

Paper • 2507.06165 • Published Jul 8, 2025 • 60

Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning

Paper • 2506.10521 • Published Jun 12, 2025 • 75

MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs

Paper • 2505.21327 • Published May 27, 2025 • 83