… with model likelihood is a popular method for code generation but it is prone to … CoderReviewer
reranking. We augment Coder language models from past work, which generate …

… However, selecting the best code solutions from all possible … reranking strategy for selecting
the best solutions from code … of clusters’ likelihood and CoderReviewer ranking criteria as …

… -coding tasks We took the top 3 and bottom 3 generations for … baselines like Coder Reviewer
Reranker despite them … For code generation, we also leverage the fact that our reranking …

… These approaches work based on the generate-then-rerank … We aim to mitigate the exposure
bias in the encoder-decoder … We thank anonymous reviewers for their valuable comments …

… Coder-Reviewer’s original article does not conduct experiments on this benchmark, and we
find that the methodology Coder-Reviewer … Coder reviewer reranking for code generation. In …

… (2) Using the DeepSeek-Coder as generator, our method Top … compared with standalone
DeepSeek-Coder. In conclusion, … code ranking method such as Normalized CoderReviewer …

… 2021), PRISM is an encoder-decoder model trained for NMT … 2020), while our parser is an
encoder-decoder model trained to … We are also grateful to the anonymous reviewers for their …

… one another through simple reranking strategies, with which … on generation tasks like code
summarization, code generation… encoder-decoder model pretrained on large code reviewer …

… We also explore reranking with BGE-reranker-base [44], which reranks the top-100 openai …
for retrieval-augmented code generation with various coding tasks and retrieval sources. With …

… reranking for code generation. We expect our framework to provide a solid guideline for future
research on code generation.… (2023) experiment with filtering in other algorithmic coding …