pith:CHQ5YMAJ
HELO-APR: Enhancing Low-Resource Program Repair through Cross-Lingual Knowledge Transfer
Cross-lingual transfer from C++ raises low-resource language repair Pass@1 from 1.67% to 11.97% on CodeLlama.
arxiv:2604.17016 v2 · 2026-04-18 · cs.SE
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Record completeness
Claims
Using C++ as the source HRPL and Ruby and Rust as the target LRPLs, experiments on xCodeEval show that HELO-APR consistently outperforms strong baselines, increasing Pass@1 from 31.32% to 48.65% on DeepSeek-Coder-6.7B and from 1.67% to 11.97% on CodeLlama-7B, while improving syntactic validity by raising the average target compilation rate on CodeLlama from 49.77% to 91.98%.
The assumption that synthesizing LRPL buggy-fixed pairs from HRPL counterparts can preserve defect type consistency while ensuring the synthesized code is idiomatic, which is required for the data construction stage to provide effective supervision.
HELO-APR improves LLM-based automatic program repair in low-resource languages by synthesizing cross-lingual training data and using curriculum learning, raising Pass@1 from 31.32% to 48.65% on DeepSeek-Coder for Ruby/Rust targets.
Receipt and verification
| First computed | 2026-05-26T01:03:30.314757Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
11e1dc3009a92a049c0df4c97a8c95a95637343d980b174564249ea2d601544a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CHQ5YMAJVEVAJHAN6TEXVDEVVF \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 11e1dc3009a92a049c0df4c97a8c95a95637343d980b174564249ea2d601544a
Canonical record JSON
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