LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems

Pengkun Wang, Zhe Zhao, Haibin Wen, Fanfu Wang, Binwu Wang +2 more
2/3/2026

No confident code implementation found for this paper. 3 possible matches can be shown below.

Semantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 3 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Cite this paper

@article{wang2026llmautoda,
  title  = {LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems},
  author = {Pengkun Wang and Zhe Zhao and Haibin Wen and Fanfu Wang and Binwu Wang and Qingfu Zhang and Yang Wang},
  year   = {2026},
  url    = {https://www.semanticscholar.org/paper/d9aa6b0b78c487f4d8062325c2c994992a221596},
  journal = {NEURIPS 2024 2024}
}

Discussion