- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
MLNLP:本仓库整理人工智能会议(如 ACL、EMNLP、NAACL、COLING、AAAI、IJCAI、ICLR、NeurIPS、ICML 等)中开源代码的论文。
01Result
MLNLP-World/Top-AI-Conferences-Paper-with-Code ↗MLNLP-World/Top-AI-Conferences-Paper-with-Code AI coding statistics: 48.3%
One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.
02Drivers
What shapes this result
Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.
Assisted or autonomous
Assisted — a developer’s identity authored the commit and the agent added itself as co-author. Autonomous — a bot identity authored the commit without a human identity attached.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Claude Code | Anthropic | 14 | 48.3% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
d4592345on GitHub更新README.md:使用GitHub头像链接Claude Code122478d9on GitHub更新README.md:将贡献者头像改为圆形Claude Code6f08b045on GitHub更新README.md:添加贡献者头像Claude Code
04Method
What entered the denominator
The result begins with commit history, removes merges and routine automation, and reports literal agent signatures as a lower bound.
Exclusion ledger
| Commits in window | 30 |
| Merge commits removed | −1 |
| CI / dependency bots removed | −0 |
| Considered | 29 |
Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.
Continue exploring
Related coding-agent evidence
Run the same detector locally.
Deterministic signature matching; no code-style inference. Squash merges can remove trailers, so this result remains a measured floor.
npx qmmit-cli MLNLP-World/Top-AI-Conferences-Paper-with-Code