| Bias and fairness in large language models: A survey IO Gallegos, RA Rossi, J Barrow, MM Tanjim, S Kim, F Dernoncourt, T Yu, ... arXiv preprint arXiv:2309.00770, 2023 | 64 | 2023 |
| Evaluation examples are not equally informative: How should that change NLP leaderboards? P Rodriguez, J Barrow, AM Hoyle, JP Lalor, R Jia, J Boyd-Graber Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 58 | 2021 |
| A joint model for document segmentation and segment labeling J Barrow, R Jain, V Morariu, V Manjunatha, DW Oard, P Resnik Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 48 | 2020 |
| It Takes Two to Lie: One to Lie, and One to Listen D Peskov, B Cheng, A Elgohary, J Barrow, C Danescu-Niculescu-Mizil, ... | 37 | 2020 |
| Autodan: Automatic and interpretable adversarial attacks on large language models S Zhu, R Zhang, B An, G Wu, J Barrow, Z Wang, F Huang, A Nenkova, ... arXiv preprint arXiv:2310.15140, 2023 | 14 | 2023 |
| Mitigating noisy inputs for question answering D Peskov, J Barrow, P Rodriguez, G Neubig, J Boyd-Graber arXiv preprint arXiv:1908.02914, 2019 | 13 | 2019 |
| Surprise languages: rapid-response cross-language IR DW Oard, M Carpuat, P Galuscakova, J Barrow, S Nair, X Niu, HC Shing, ... The Ninth International Workshop on Evaluating Information Access (EVIA 2019 …, 2019 | 8 | 2019 |
| UMDeep at SemEval-2017 Task 1: End-to-end shared weight LSTM model for semantic textual similarity J Barrow, D Peskov Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 8 | 2017 |
| Pdftriage: Question answering over long, structured documents J Saad-Falcon, J Barrow, A Siu, A Nenkova, RA Rossi, F Dernoncourt arXiv preprint arXiv:2309.08872, 2023 | 6 | 2023 |
| Syntopical Graphs for Computational Argumentation Tasks J Barrow, R Jain, N Lipka, F Dernoncourt, VI Morariu, V Manjunatha, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 4 | 2021 |
| Unsupervised system combination for set-based retrieval with expectation maximization HC Shing, J Barrow, P Galuščáková, DW Oard, P Resnik Experimental IR Meets Multilinguality, Multimodality, and Interaction: 10th …, 2019 | 4 | 2019 |
| Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes IO Gallegos, RA Rossi, J Barrow, MM Tanjim, T Yu, H Deilamsalehy, ... arXiv preprint arXiv:2402.01981, 2024 | 1 | 2024 |
| MATERIALizing Cross-Language Information Retrieval: A Snapshot P Galuščáková, DW Oard, J Barrow, S Nair, S Han-Chin, E Zotkina, ... Proceedings of the workshop on Cross-Language Search and Summarization of …, 2020 | 1 | 2020 |
| Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores C Shaib, J Barrow, J Sun, AF Siu, BC Wallace, A Nenkova arXiv preprint arXiv:2403.00553, 2024 | | 2024 |
| How Much Annotation is Needed to Compare Summarization Models? C Shaib, J Barrow, AF Siu, BC Wallace, A Nenkova arXiv preprint arXiv:2402.18756, 2024 | | 2024 |
| Chain of Logic: Rule-Based Reasoning with Large Language Models S Servantez, J Barrow, K Hammond, R Jain arXiv preprint arXiv:2402.10400, 2024 | | 2024 |
| Structural Scaffolding for Sensemaking in Document Collections J Barrow University of Maryland, College Park, 2022 | | 2022 |
Douglas W. OardUniversity of MarylandVerified email at umd.edu
