| Can you unpack that? learning to rewrite questions-in-context A Elgohary, D Peskov, J Boyd-Graber Can You Unpack That? Learning to Rewrite Questions-in-Context, 2019 | 247 | 2019 |
| Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence A Hoyle, P Goel, A Hian-Cheong, D Peskov, J Boyd-Graber, P Resnik Advances in Neural Information Processing Systems 34, 2021 | 161 | 2021 |
| The Prompt Report: A Systematic Survey of Prompting Techniques S Schulhoff, M Ilie, N Balepur, K Kahadze, A Liu, C Si, Y Li, A Gupta, ... arXiv preprint arXiv:2406.06608, 2024 | 80 | 2024 |
| Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data D Peskov, N Clarke, J Krone, B Fodor, Y Zhang, A Youssef, M Diab Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 60 | 2019 |
| It Takes Two to Lie: One to Lie, and One to Listen D Peskov, B Cheng, A Elgohary, J Barrow, C Danescu-Niculescu-Mizil, ... | 51 | 2020 |
| Credible without Credit: Domain Experts Assess Generative Language Models D Peskoff, BM Stewart Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 28 | 2023 |
| Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts E Redmiles, L Maszkiewicz, E Hwang, D Kuchhal, E Liu, M Morales, ... Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 17 | 2019 |
| Adapting Entities across Languages and Cultures D Peskov, V Hangya, J Boyd-Graber, A Fraser Findings of the Association for Computational Linguistics: EMNLP 2021, 3725-3750, 2021 | 15 | 2021 |
| ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation D Stojanovski, B Krojer, D Peskov, A Fraser Proceedings of the 28th International Conference on Computational …, 2020 | 15 | 2020 |
| 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 |
| Humanity's Last Exam L Phan, A Gatti, Z Han, N Li, J Hu, H Zhang, S Shi, M Choi, A Agrawal, ... arXiv preprint arXiv:2501.14249, 2025 | 12 | 2025 |
| 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 |
| The Rise of AI-Generated Content in Wikipedia C Brooks, S Eggert, D Peskoff arXiv preprint arXiv:2410.08044, 2024 | 5 | 2024 |
| More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play W Wongkamjan, F Gu, Y Wang, U Hermjakob, J May, BM Stewart, ... arXiv preprint arXiv:2406.04643, 2024 | 5 | 2024 |
| Measuring the Rapid Growth of HSTS and HPKP Deployments I Petrov, D Peskov, G Coard, T Chung, D Choffnes, D Levin, BM Maggs, ... | 2 | |
| GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves D Peskoff, A Visokay, S Schulhoff, B Wachspress, A Blinder, BM Stewart Findings of the Association for Computational Linguistics: EMNLP 2023, 6529-6539, 2023 | 1 | 2023 |
| Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL W Wongkamjan, Y Wang, F Gu, D Peskoff, JK Kummerfeld, J May, ... arXiv preprint arXiv:2502.12436, 2025 | | 2025 |
| Personalized Help for Optimizing Low-Skilled Users' Strategy F Gu, W Wongkamjan, JL Boyd-Graber, JK Kummerfeld, D Peskoff, J May arXiv preprint arXiv:2411.09109, 2024 | | 2024 |