
Yao Dou - Google Scholar
The following articles are merged in Scholar. Their combined citations are counted only for the first article.
Is GPT -3 Text Indistinguishable from Human Text? Scarecrow: A ...
2025年3月17日 · Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, and Yejin Choi. 2022. Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7250–7274, Dublin, Ireland.
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Yao Dou
Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu EMNLP 2023 Thresh: A Unified, Customizable and Deployable Platform for Fine-grained Text Evaluation (Demo)
Yao Dou - Research Intern - Microsoft Research - LinkedIn
I am a Ph.D. student at Georgia Tech studying Natural Language Processing. My current research interests lie in Large Language Model (LLM), Learning from Human Feedback, and Evaluation. #ACL2024...
- 职位: Ph.D. Student at Georgia Tech
- 位置: Microsoft Research
- 人脉数: 60
Yao Dou - OpenReview
Promoting openness in scientific communication and the peer-review process
[2310.03878] Automatic and Human-AI Interactive Text Generation …
2023年10月5日 · With a special focus on text simplification and revision, this tutorial aims to provide an overview of the state-of-the-art natural language generation research from four major aspects -- Data, Models, Human-AI Collaboration, and Evaluation -- and to discuss and showcase a few significant and recent advances: (1) the use of non-retrogressive app...
GitHub - Yao-Dou/LENS
The repo contains the datasets and the metric checkpoints from our paper: LENS: A Learnable Evaluation Metric for Text Simplification. data folder contains the SimpEval datasets. lens folder contains the LENS metric checkpoint. Further details to install and use LENS are in the folder. No description, website, or topics provided.
Yao Dou - ACL Anthology
Yao Dou | Chao Jiang | Wei Xu Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing This paper addresses the quality issues in existing Twitter-based paraphrase datasets, and discusses the necessity of using two separate definitions of paraphrase for identification and generation tasks.
Yao Dou | IEEE Xplore Author Details
Yao Dou received the B.E. degree in detection guidance and control engineering from Beihang University, Beijing, China, in 2021, where she is currently pursuing the Ph.D. degree. Her current research interests include the magnetic shielding design technology and optically pumped magnetometers.
Yao DOU | Research profile
Vapor-phase glutaraldehyde crosslinking was used to improve the performance of feather keratin/gelatin (FK/Ge) nanofiber nonwovens for potential use as wound dressings. Crosslinking was performed...
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