Huan-ang Gao

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upvoted a paper 18 days ago

Quant-Arena: Benchmarking LLM Agents for Quantitative Trading Research

Paper • 2610.30113 • Published 20 days ago • 24

upvoted a paper 24 days ago

AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning

Paper • 2610.22194 • Published 26 days ago • 40

upvoted 4 papers about 1 month ago

Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition

Paper • 2610.12341 • Published Oct 8 • 39

Learning Meta-Skills for Agent Harness Design in Test-Time AI4AI

Paper • 2609.38143 • Published Sep 29 • 53

What Makes World Action Models Generalize? An Empirical Study of Test-Time Future Modeling

Paper • 2609.34981 • Published Sep 29 • 79

Diffusion Reward Models

Paper • 2609.33803 • Published Sep 27 • 29

upvoted a paper about 2 months ago

Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation

Paper • 2609.11638 • Published Sep 10 • 223

upvoted 2 papers 2 months ago

Rethinking On-Policy Distillation of Large Language Models II: One Training Example

Paper • 2609.04172 • Published Sep 3 • 81

Open-MOPD: Diagnosing and Fixing Capability Imbalance in Multi-Teacher On-Policy Distillation

Paper • 2608.19098 • Published Aug 19 • 23

upvoted 2 papers 3 months ago

EchoWM: Open and Enterable Omnimodal World Models

Paper • 2608.23189 • Published Aug 24 • 82

PACE-Bench: Benchmarking Physics Adaptation via Code Evolution in Dynamic Environments

Paper • 2608.14441 • Published Aug 14 • 29

upvoted 3 papers 4 months ago

Self Gradient Forcing: Native Long Video Extrapolation

Paper • 2607.20368 • Published Jul 22 • 37

Spectral Rewiring for Exploration, Purification, and Model Merging

Paper • 2607.03065 • Published Jul 3 • 22

Weak-to-Strong Generalization via Direct On-Policy Distillation

Paper • 2607.05394 • Published Jul 8 • 143

upvoted a paper 6 months ago

Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe

Paper • 2604.13016 • Published Apr 14 • 115

upvoted a paper 7 months ago

Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization

Paper • 2604.12290 • Published Apr 14 • 17

upvoted 2 papers 8 months ago

How Far Can Unsupervised RLVR Scale LLM Training?

Paper • 2603.08660 • Published Mar 9 • 53

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

Paper • 2602.24286 • Published Feb 27 • 96

upvoted a paper 11 months ago

JustRL: Scaling a 1.5B LLM with a Simple RL Recipe

Paper • 2512.16649 • Published Dec 18, 2025 • 34

upvoted a paper over 1 year ago

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference

Paper • 2508.02193 • Published Aug 4, 2025 • 139