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Haotian Ye — most-cited papers & profile · AI for Code
← authors
·
overview
Haotian Ye
20
papers ·
303
citations ·
10
h-index
Henan University of Science and Technology · Stanford University
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
In-context Vectors: Making In Context Learning More Effective And Controllable Through Latent Space Steering
2023 · 243 citations
Selecting Large Language Model To Fine-tune Via Rectified Scaling Law
2024 · 30 citations
NFT: Bridging Supervised Learning and Reinforcement Learning in Math Reasoning
2025 · 28 citations
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
2022 · 1 citations
DOF: Accelerating High-order Differential Operators with Forward Propagation
2024 · 1 citations
ChipMATE: Multi-Agent Training via Reinforcement Learning for Enhanced RTL Generation
2026
Structured Scaling of AI Discovery Across Diverse Scientific Domains
2026
Structured Scaling of AI Discovery Across Diverse Scientific Domains
2026
Structured Scaling of AI Discovery Across Diverse Scientific Domains
2026
Structured Scaling of AI Discovery Across Diverse Scientific Domains
2026
Structured Scaling of AI Discovery Across Diverse Scientific Domains
2026
Evaluation-driven Scaling for Scientific Discovery
2026
Data-regularized Reinforcement Learning for Diffusion Models at Scale
2025
DiffusionNFT: Online Diffusion Reinforcement with Forward Process
2025
REAR: Rethinking Visual Autoregressive Models Via Generator-tokenizer Consistency Regularization
2025
Topics
Uncategorized
Efficiency
In-Context Learning
Evaluation
RLHF & Alignment
cs.LG
Fine-Tuning
Policy Gradient
cs.AI
Meta-RL