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Hejian Sang — most-cited papers & profile · AI Agents
← authors
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overview
Hejian Sang
6
papers ·
1
citations ·
2
h-index
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Most-cited papers
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems
2025 · 1 citations
SODA: Semi On-Policy Black-Box Distillation for Large Language Models
2026
Overconfident Errors Need Stronger Correction: Asymmetric Confidence Penalties for Reinforcement Learning
2026
Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training
2026
Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs
2025
Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs
2025
Topics
Training Techniques
Efficiency
Reinforcement Learning
Fine-Tuning
Safety & Alignment
cs.IR
cs.LG
In-Context Learning
Multi-Agent
Model-Based RL