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Ilgee Hong β most-cited papers & profile Β· AI for Code
β authors
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Ilgee Hong
8
papers Β·
4
citations
Google Scholar β
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Most-cited papers
Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
2026
Ask a Strong LLM Judge when Your Reward Model is Uncertain
2025
Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only
2025
Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models
2025
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
2025
OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment
2025
Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models
2025
Topics
Fine-Tuning
Reinforcement Learning
Safety & Alignment
Training Techniques
cs.LG
RAG
cs.CL
Model Architecture
Efficiency
Evaluation