| 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 50 (3), 1097-1179, 2024 | 452 | 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 | 87 | 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 | 62 | 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, ... | 49 | 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 | 47 | 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 | 24 | 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 | 20 | 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 | 16 | 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 | 11 | 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 | 8 | 2023 |
| 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 |
| 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 | 7 | 2024 |
| 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 |
| 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 | 4 | 2024 |
| Personalized Multimodal Large Language Models: A Survey J Wu, H Lyu, Y Xia, Z Zhang, J Barrow, I Kumar, M Mirtaheri, H Chen, ... arXiv preprint arXiv:2412.02142, 2024 | 2 | 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 | 2 | 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 |
Rajiv JainAdobe ResearchCorreu electrònic verificat a cs.umd.edu