2 papers
cs.LG2025
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Max Liu, Chan-Hung Yu, Wei-Hsu Lee +3
Programmatic reinforcement learning (PRL) has been explored for representing policies through programs as a means to achieve interpretability and generalization. Despite promising…
cs.CL2025
Beyond Natural Language Perplexity: Detecting Dead Code Poisoning in Code Generation Datasets
Chi-Chien Tsai, Chia-Mu Yu, Ying-Dar Lin +2
The increasing adoption of large language models (LLMs) for code-related tasks has raised concerns about the security of their training datasets. One critical threat is dead code p…