CommitSuite: A Comprehensive Benchmark for Commit Classification and Message Generation
Fuente:
Zenodo
Saved in:
| Main Author: | Anonymous, Anonymous |
|---|---|
| Format: | Recurso digital |
| Published: |
Zenodo
2025
|
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CommitSuite: A Comprehensive Benchmark for Commit Classification and Message Generation
by: Anonymous, Anonymous
Published: (2025)
by: Anonymous, Anonymous
Published: (2025)
CommitSuite: A Comprehensive Benchmark for Commit Classification and Message Generation
by: Wan, Zirui, et al.
Published: (2026)
by: Wan, Zirui, et al.
Published: (2026)
CommitBench: A Benchmark for Commit Message Generation
by: Schall, Maximilian, et al.
Published: (2024)
by: Schall, Maximilian, et al.
Published: (2024)
Commitment Floors for Tipping-Point Commons: Escaping Nash Traps in Multi-Agent Reinforcement Learning
by: Author, Anonymous
Published: (2026)
by: Author, Anonymous
Published: (2026)
Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message
by: Li, Jiawei, et al.
Published: (2025)
by: Li, Jiawei, et al.
Published: (2025)
RAG-Enhanced Commit Message Generation
by: Zhang, Linghao, et al.
Published: (2024)
by: Zhang, Linghao, et al.
Published: (2024)
From Situational to Unconditional: The Spectrum of Moral Commitment Required for Multi-Agent Survival in Non-linear Social Dilemmas
by: Author, Anonymous
Published: (2026)
by: Author, Anonymous
Published: (2026)
Automated Generation of Commit Messages in Software Repositories
by: Palakodeti, Varun Kumar, et al.
Published: (2025)
by: Palakodeti, Varun Kumar, et al.
Published: (2025)
CodeFuse-CommitEval: Towards Benchmarking LLM's Power on Commit Message and Code Change Inconsistency Detection
by: Zhang, Qingyu, et al.
Published: (2025)
by: Zhang, Qingyu, et al.
Published: (2025)
Evaluating Generated Commit Messages with Large Language Models
by: Zeng, Qunhong, et al.
Published: (2025)
by: Zeng, Qunhong, et al.
Published: (2025)
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation
by: Tao, Wei, et al.
Published: (2024)
by: Tao, Wei, et al.
Published: (2024)
Commit Messages in the Age of Large Language Models
by: Lopes, Cristina V., et al.
Published: (2024)
by: Lopes, Cristina V., et al.
Published: (2024)
Improving the Quality of Commit Messages in Students' Projects
by: Ma, Iris, et al.
Published: (2023)
by: Ma, Iris, et al.
Published: (2023)
Contextual Code Retrieval for Commit Message Generation: A Preliminary Study
by: Xiong, Bo, et al.
Published: (2025)
by: Xiong, Bo, et al.
Published: (2025)
Context Conquers Parameters: Outperforming Proprietary LLM in Commit Message Generation
by: Imani, Aaron, et al.
Published: (2024)
by: Imani, Aaron, et al.
Published: (2024)
COMET: Generating Commit Messages using Delta Graph Context Representation
by: Mandli, Abhinav Reddy, et al.
Published: (2024)
by: Mandli, Abhinav Reddy, et al.
Published: (2024)
Using Large Language Models for Commit Message Generation: A Preliminary Study
by: Zhang, Linghao, et al.
Published: (2024)
by: Zhang, Linghao, et al.
Published: (2024)
CoMRAT: Commit Message Rationale Analysis Tool
by: Dhaouadi, Mouna, et al.
Published: (2025)
by: Dhaouadi, Mouna, et al.
Published: (2025)
Classic Graph Datasets for Node Classification
by: Anonymous, Anonymous
Published: (2026)
by: Anonymous, Anonymous
Published: (2026)
Brevity is the Soul of Wit: Condensing Code Changes to Improve Commit Message Generation
by: Kuang, Hongyu, et al.
Published: (2025)
by: Kuang, Hongyu, et al.
Published: (2025)
CoRaCMG: Contextual Retrieval-Augmented Framework for Commit Message Generation
by: Xiong, Bo, et al.
Published: (2025)
by: Xiong, Bo, et al.
Published: (2025)
An Empirical Study on Commit Message Generation using LLMs via In-Context Learning
by: Wu, Yifan, et al.
Published: (2025)
by: Wu, Yifan, et al.
Published: (2025)
Automated Commit Message Generation with Large Language Models: An Empirical Study and Beyond
by: Xue, Pengyu, et al.
Published: (2024)
by: Xue, Pengyu, et al.
Published: (2024)
Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings
by: Tsvetkov, Petr, et al.
Published: (2024)
by: Tsvetkov, Petr, et al.
Published: (2024)
On the Informativeness of Security Commit Messages: A Large-scale Replication Study
by: Islam, Syful, et al.
Published: (2026)
by: Islam, Syful, et al.
Published: (2026)
Commit: Online Groups with Participation Commitments
by: Popowski, Lindsay, et al.
Published: (2024)
by: Popowski, Lindsay, et al.
Published: (2024)
Committed
by: Burch, Susan
Published: (2023)
by: Burch, Susan
Published: (2023)
On the Use of Commit Messages for Corrective Software Maintenance: A Systematic Mapping Study
by: Islam, Syful, et al.
Published: (2026)
by: Islam, Syful, et al.
Published: (2026)
Connecting Generations Through Code: GABI, A Community-Driven Framework for Engineering Inclusive Financial Software for the Elderly
by: Anonymous, Anonymous
Published: (2025)
by: Anonymous, Anonymous
Published: (2025)
The Evaluation Trap: Benchmark Design as Theoretical Commitment
by: Kalaitzidis, Theodore J
Published: (2026)
by: Kalaitzidis, Theodore J
Published: (2026)
Incorporating convergent enzyme thermal evolution into species distribution models unveils future global marine fish distribution under climate change
by: Anonymous, Anonymous, et al.
Published: (2025)
by: Anonymous, Anonymous, et al.
Published: (2025)
Rationale Dataset and Analysis for the Commit Messages of the Linux Kernel Out-of-Memory Killer
by: Dhaouadi, Mouna, et al.
Published: (2024)
by: Dhaouadi, Mouna, et al.
Published: (2024)
Commitment Checklist: Auditing Author Commitments in Peer Review
by: Chen, Chung-Chi, et al.
Published: (2026)
by: Chen, Chung-Chi, et al.
Published: (2026)
Supplementary Document- Machine-DM: A Machine-based Decision-Maker for Benchmarking Interactive MCDM Procedures
by: Anonymous
Published: (2026)
by: Anonymous
Published: (2026)
SemiScope: Disentangling Classifier Tuning and Joint Optimization in Semi-Supervised Security Classification
by: Anonymous
Published: (2026)
by: Anonymous
Published: (2026)
CrossCommitVuln-Bench: A Dataset of Multi-Commit Python Vulnerabilities Invisible to Per-Commit Static Analysis
by: Majumdar, Arunabh
Published: (2026)
by: Majumdar, Arunabh
Published: (2026)
Similar Items
-
CommitSuite: A Comprehensive Benchmark for Commit Classification and Message Generation
by: Anonymous, Anonymous
Published: (2025) -
CommitSuite: A Comprehensive Benchmark for Commit Classification and Message Generation
by: Wan, Zirui, et al.
Published: (2026) -
CommitBench: A Benchmark for Commit Message Generation
by: Schall, Maximilian, et al.
Published: (2024) -
Commitment Floors for Tipping-Point Commons: Escaping Nash Traps in Multi-Agent Reinforcement Learning
by: Author, Anonymous
Published: (2026) -
Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message
by: Li, Jiawei, et al.
Published: (2025)