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Yeyun Gong — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yeyun Gong
18
papers ·
57
citations ·
28
h-index
Microsoft Research Asia (China)
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Semantic Scholar ↗
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Most-cited papers
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
2023 · 57 citations
MSign: An Optimizer Preventing Training Instability in Large Language Models via Stable Rank Restoration
2026
Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
2026
Improving Data and Reward Design for Scientific Reasoning in Large Language Models
2026
Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data
2025
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models
2025
Optimizing Large Language Model Training Using FP4 Quantization
2025
Process-based Self-Rewarding Language Models
2025
Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling
2025
How does Alignment Enhance LLMs' Multilingual Capabilities? A Language Neurons Perspective
2025
TL;DR: Too Long, Do Re-weighting for Effcient LLM Reasoning Compression
2025
SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
2025
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training
2025
Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
2025
Recycling Pretrained Checkpoints: Orthogonal Growth of Mixture-of-Experts for Efficient Large Language Model Pre-Training
2025
Topics
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Reinforcement Learning
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