From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 18 more institutions on single bylines are not listed.

Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4Artificial Intelligence · 2 works Arts and Humanities · 2 works Computer Science · 2 works Language and Linguistics · 2 works

🧭 Topics 3Evaluation & benchmarks · 1 work Language models & pretraining · 1 work Summarization · 1 work

Works by year

2020s

20231 paperEvaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks

2010s

20191 paperEDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Papers

The most cited first (OpenAlex and our library).

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks (2019 · 755 citations)
Text classifiers trained on small corpora often overfit. Unlike computer vision, NLP had no cheap, general-purpose augmentation recipe, and existing options such as back-translation or language-model-based word substitution take real engineering effort. Wei and Zou propose EDA, a set of four lightweight edits…
Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks (2023 · 89 citations)
The authors examine whether standard automatic metrics still judge modern generative LLMs fairly on sequence-to-sequence tasks.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification TasksarXiv:1901.11196Jason Wei, Kai Zou2019 · 755 citations
Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Andrea Sottana, Bin Liang, Kai Zou, et al.2023 · 89 citations
MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math DataarXiv:2406.18321 · original ↗ · no summary yetMeng Fang et al.2024 · 46 citations

Co-authors here

3 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2023

Cited by

Papers of our library cite their works 657 times (of the 141,840 papers whose bibliographies we read); 37 citing papers with a page here →.

Updated 24 October 2026

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🧑‍🔬 Kai Zou

🏛️ Affiliations

🧭 Concepts, shelves and topics

📅 Works by year

2020s

2010s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Kai Zou

Affiliations

Concepts, shelves and topics

Works by year

Papers

Co-authors here

Cited by