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The goal is to understand the code generation errors of foundation LLMs and explore the solution to resolve directly fixable errors, and to design and evaluate the LlmFix fixing method and constructed the LlmErrorEval dataset.
DyRetriever is an efficient context retrieval method via partial dependency graphs that uses an LLM to first select a set of entry-point functions and then perform multi-hop reasoning along the code dependency graph, eliminating manually designed rules and enabling flexibility across scenarios.
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