| Eliciting bias in question answering models through ambiguity A Mao, N Raman, M Shu, E Li, F Yang, J Boyd-Graber Proceedings of the 3rd Workshop on Machine Reading for Question Answering, 92-99, 2021 | 6 | 2021 |
| Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis Z Li, A Mao, D Stephens, P Goel, E Walpole, A Dima, J Fung, ... Proceedings of the 18th Conference of the European Chapter of the …, 2024 | 5 | 2024 |
| Cheater’s Bowl: Human vs. Computer Search Strategies for Open-Domain QA W He, A Mao, J Boyd-Graber Findings of the Association for Computational Linguistics: EMNLP 2022, 3627-3639, 2022 | 2 | 2022 |
| Human-in-the-loop Technical Document Annotation: Developing and Validating a System to Provide Machine-Assistance for Domain-Specific Text Analysis J Fung, Z Li, D Stephens, A Mao, P Goel, E Walpole, AA Dima, ... Juan Fung, Zongxia Li, Daniel Stephens, Andrew Mao, Pranav Goel, Emily …, 2024 | | 2024 |
| Human-in-the-loop Technical Document JF Fung, Z Li, DK Stephens, A Mao, P Goel, E Walpole, A Dima, ... | | 2024 |
| Beyond Automated Evaluation Metrics: Evaluating Topic Models On Practical Social Science Content Analysis Tasks Z Li, A Mao, D Stephens, P Goel, E Walpole, A Dima, J Fung, ... arXiv preprint arXiv:2401.16348, 2024 | | 2024 |
| Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain Question Answering W He, A Mao, J Boyd-Graber arXiv preprint arXiv:2212.03296, 2022 | | 2022 |
| CMSC498L Final Project Report: Generative Adversarial Networks and Their Applications A Mao, A Jaiman, J Prem | | |
| Using Recurrent Architectures to Generalize From Easy to Hard Problems in Image Denoising N Raman, A Mao, V Agarwal, A Jaiman | | |