Feng Luo
2 indexed papers
Recent (6 mo)
2With code
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226
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Software Eng.×1AI×1ML×1
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Research Timeline
2026
S-SPPO: Semantic-Calibrated Self-Play Preference Optimization
S-SPPO introduces a dual-space semantic calibration framework to stabilize Self-Play Preference Optimization (SPPO), preventing policy degeneration when preference oracles assign overly confident wins to semantically similar responses.
Towards Reliable C-to-Rust Translation with Rule-Guided Reasoning and Reinforcement Learning
The paper proposes TRAVEL, a framework for automated C-to-Rust translation using Monte Carlo Tree Search and reinforcement learning, improving accuracy and success rate.
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Papers
cs.SEEmpiricalRecentJul 22, 2026
Towards Reliable C-to-Rust Translation with Rule-Guided Reasoning and Reinforcement Learning
Feng Luo, Jiachen Liu, Cuiyun Gao, Jia Feng +1 more
The paper proposes TRAVEL, a framework for automated C-to-Rust translation using Monte Carlo Tree Search and reinforcement learning, improving accuracy and success rate.
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cs.AIcs.LGRecentJun 1, 2026