SE-guided training data sharpens coding LLMs beyond benchmark tasks

Ebrahimi et al. show that verified refactoring data built with software engineering tools improves a 92B-parameter model's refactoring and issue resolution across agent harnesses.

Chinese Tech
Amir M. Ebrahimi · Mohammed Mehedi Hasan · Seyed Shayan Daneshvar · Jiahuei Lin · Gopi Krishnan Rajbahadur · Ahmed E. Hassan

Queen's University · University of Manitoba · Huawei Technologies

Research Digest··2 min read
Illustration: SE-guided training data sharpens coding LLMs beyond benchmark tasks
Ebrahimi et al. report an industrial case study in which software engineering knowledge was used to construct verified training data for a 92B-parameter coding LLM serving over 100,000 developers.

The authors designed capability-focused training, selecting repository-level refactoring as a foundational engineering capability.

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