| Bias and fairness in large language models: A survey IO Gallegos, RA Rossi, J Barrow, MM Tanjim, S Kim, F Dernoncourt, T Yu, ... Computational Linguistics, 1-79, 2024 | 427 | 2024 |
| 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 | 83 | 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 | 63 | 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, ... | 50 | 2020 |
| AutoDAN: interpretable gradient-based adversarial attacks on large language models S Zhu, R Zhang, B An, G Wu, J Barrow, Z Wang, F Huang, A Nenkova, ... First Conference on Language Modeling, 2024 | 43* | 2024 |
| Pdftriage: Question answering over long, structured documents J Saad-Falcon, J Barrow, A Siu, A Nenkova, DS Yoon, RA Rossi, ... arXiv preprint arXiv:2309.08872, 2023 | 21 | 2023 |
| 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 | 18 | 2024 |
| 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 | 15 | 2024 |
| 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 |
| Chain of Logic: Rule-Based Reasoning with Large Language Models S Servantez, J Barrow, K Hammond, R Jain arXiv preprint arXiv:2402.10400, 2024 | 8 | 2024 |
| 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 |
| 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 | 5 | 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 | 5 | 2019 |
| Personalization of large language models: A survey Z Zhang, RA Rossi, B Kveton, Y Shao, D Yang, H Zamani, F Dernoncourt, ... arXiv preprint arXiv:2411.00027, 2024 | 4 | 2024 |
| A survey of small language models C Van Nguyen, X Shen, R Aponte, Y Xia, S Basu, Z Hu, J Chen, M Parmar, ... arXiv preprint arXiv:2410.20011, 2024 | 3 | 2024 |
| & Ahmed, NK (2023). Bias and fairness in large language models: A survey IO Gallegos, RA Rossi, J Barrow, MM Tanjim, S Kim, F Dernoncourt Preprint retrieved from, 0 | 3 | |
| 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 | 2 | 2024 |
| Machine-learning tool for generating segmentation and topic metadata for documents R Jain, V Manjunatha, J Barrow, VI Morariu, F Dernoncourt, S Spala, ... US Patent 11,783,008, 2023 | 1 | 2023 |
| 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 |
Rajiv JainAdobe ResearchVerifierad e-postadress på cs.umd.edu