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Resolving ambiguity in code refinement via conidfine: A conversationally-Aware framework with disambiguation and targeted retrieval | Synapse
March 3, 2026
Resolving ambiguity in code refinement via conidfine: A conversationally-Aware framework with disambiguation and targeted retrieval
AS
A. W. Song
AA
Afizan Azman
Taylor's University
SG
Shanzhi Gu
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Key Points
The framework significantly reduces ambiguity in code refinement, leading to improved retrieval rates.
In controlled experiments, disambiguation improved accuracy by 30% compared to traditional methods.
The study utilized a conversationally aware framework for enhanced code queries and retrieval processes.
This approach highlights the need for more interactive tools in software development for effective coding.
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Song et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75e1fc6e9836116a287df
https://doi.org/https://doi.org/10.1016/j.neunet.2026.108650