[GS07] MapCoder: Multi-Agent Code Generation for Competitive Problem Solving
Kunci Stabil: GS07 | Sitasi BibTeX: 1
Ringkasan Metadata
- Penulis & Tahun: Md Ashraful Islam and others (BUET & Rochester), 2024
- Venue & Tier: ACL 2024 Long
- DOI / URL: 10.18653/v1/2024.acl-long.269
- Skor Kualitas (QA Score): - (QA korpus baru OPEN, belum dinilai)
- Peran Studi: QGS (penguji recall P1+P2)
- Tingkat Ekstraksi:
metadata-calibration - Cakupan (Scope): Competitive problem solving (HumanEval, MBPP, APPS, CodeContests), function-level, bukan repo.
1. Masalah Utama (Core Problem)
Generasi kode problem-solving kompetitif via multi-agen.
2. Arsitektur yang Diajukan (Architecture)
4 agen (Retrieval, Planning, Coding, Debugging); siklus plan-code-debug retrieval-augmented.
3. Mekanisme Koordinasi & Kontrol (Coordination)
Siklik retrieval-planning; otonom penuh tanpa hierarki formal dan tanpa gate.
4. Foundation Model & Infrastruktur (FM)
LLM umum era 2024.
5. Tolok Ukur & Dataset (Benchmark)
HumanEval, MBPP, APPS, CodeContests.
6. Artefak & Kode Sumber (Artifact)
ideis/MapCoder.
7. Metrik Primer Eksak (Primary exact)
UNDOCUMENTED di SSOT jalur baru (QA/DEF korpus baru OPEN).
8. Metrik Sekunder (Secondary)
-
9. Pola Kegagalan (Failure Modes)
Generalisasi ke repo skala besar belum terbukti.
10. Ancaman Validitas (Threats)
UNDOCUMENTED (QA korpus baru OPEN).
11. Jejak Bukti & Provenansi (Provenance)
Bukti Verifikasi: EVIDENCED-FACT (GS_quasi_gold.md GS07; Scopus-769 HIT DOI eksak; arXiv 2405.11403v1 HIT).
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Md Ashraful Islam and 2024 others (BUET & Rochester). MapCoder: Multi-Agent Code Generation for Competitive Problem Solving. 2024. Venue: ACL 2024 Long, DOI: 10.18653/v1/2024.acl-long.269, Role: QGS (penguji recall P1+P2). ↩