Yihong Dong
- Papers
- 12
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Authored papers
12Think Anywhere in Code Generation
arXiv 2026
SATURN: SAT-based Reinforcement Learning to Unleash Language Model Reasoning
arXiv 2025
Rethinking Repetition Problems of LLMs in Code Generation
arXiv 2025
FANformer: Improving Large Language Models Through Effective Periodicity Modeling
arXiv 2025
Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models
arXiv 2025
Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute
arXiv 2025
RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
arXiv 2025
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
arXiv 2024
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
arXiv 2024
FAN: Fourier Analysis Networks
arXiv 2024
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
arXiv 2024
Self-collaboration Code Generation via ChatGPT
arXiv 2023
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