PAFT improves LLM-based program repair pass rates by up to 65.6% while cutting average edit distance by up to 32.6% through explicit preservation signals and curriculum training.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.SE 3roles
method 1polarities
use method 1representative citing papers
Function-based chunking underperforms other strategies in RAG code completion by 3.57-5.64 points, with context length as the dominant factor.
The abstract and the full text are two different papers: EyeMulator (code LMs with eye-tracking) versus Walk-on-Interfaces (a PDE Monte Carlo method), so the submission is internally inconsistent.
citing papers explorer
-
PAFT: Preservation Aware Fine-Tuning for Minimal-Edit Program Repair
PAFT improves LLM-based program repair pass rates by up to 65.6% while cutting average edit distance by up to 32.6% through explicit preservation signals and curriculum training.
-
How Does Chunking Affect Retrieval-Augmented Code Completion? A Controlled Empirical Study
Function-based chunking underperforms other strategies in RAG code completion by 3.57-5.64 points, with context length as the dominant factor.
-
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention
The abstract and the full text are two different papers: EyeMulator (code LMs with eye-tracking) versus Walk-on-Interfaces (a PDE Monte Carlo method), so the submission is internally inconsistent.