| 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, 2018-2033, 2021 | 190 | 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 5, 2024 | 140 | 2024 |
| Topicgpt: A prompt-based topic modeling framework CM Pham, A Hoyle, S Sun, P Resnik, M Iyyer arXiv preprint arXiv:2311.01449, 2023 | 102 | 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 | 96 | 2021 |
| Unsupervised Discovery of Gendered Language through Latent-Variable Modeling A Hoyle, L Wolf-Sonkin, H Wallach, I Augenstein, R Cotterell Annual Meeting of the Association for Computational Linguistics 1, 2019 | 73 | 2019 |
| Improving Neural Topic Models using Knowledge Distillation A Hoyle, P Goel, P Resnik Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 51 | 2020 |
| Are Neural Topic Models Broken? A Hoyle, P Goel, R Sarkar, P Resnik Findings of the Association for Computational Linguistics: EMNLP 2022, 5321–5344, 2022 | 43 | 2022 |
| Revisiting automated topic model evaluation with large language models D Stammbach, V Zouhar, A Hoyle, M Sachan, E Ash arXiv preprint arXiv:2305.12152, 2023 | 32 | 2023 |
| Promoting Graph Awareness in Linearized Graph-to-Text Generation A Hoyle, A Marasović, NA Smith Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 32 | 2021 |
| Do We Still Need BERT in the Age of GPT? Comparing the Benefits of Domain-Adaptation and In-Context-Learning Approaches to Using LLMs for Political Science Research.” M Bosley, M Jacobs-Harukawa, H Licht, A Hoyle 2023 Annual Meeting of the Midwest Political Science Association (MPSA), 2023 | 22* | 2023 |
| Natural Language Decompositions of Implicit Content Enable Better Text Representations A Hoyle, R Sarkar, P Goel, P Resnik arXiv preprint arXiv:2305.14583, 2023 | 15* | 2023 |
| Combining Sentiment Lexica with a Multi-View Variational Autoencoder A Hoyle, L Wolf-Sonkin, H Wallach, R Cotterell, I Augenstein Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 8 | 2019 |
| The Prompt Report: A Systematic Survey of Prompting Techniques. arXiv 2024 S Schulhoff, M Ilie, N Balepur, K Kahadze, A Liu, C Si, Y Li, A Gupta, ... arXiv preprint arXiv:2406.06608, 0 | 7 | |
| A smart mnemonic sounds like" glue tonic": Mixing llms with student feedback to make mnemonic learning stick N Balepur, M Shu, A Hoyle, A Robey, S Feng, S Goldfarb-Tarrant, ... arXiv preprint arXiv:2406.15352, 2024 | 3 | 2024 |
| Do You Walk the Walk, Talk the Talk, or Tweet the Tweet? Legislators’ Ideal Points Across Venues SRW Gaynor, K Miler, P Goel, AM Hoyle, P Resnik Working paper, 2022 | 3 | 2022 |
| A First Step towards Measuring Interdisciplinary Engagement in Scientific Publications: A Case Study on NLP+ CSS Research A Leto, S Roy, A Hoyle, D Acuna, ML Pacheco Proceedings of the Sixth Workshop on Natural Language Processing and …, 2024 | 2 | 2024 |
| A step-by-step protocol for curation of topic models by subject matter experts P Resnik, P Goel, A Hoyle, R Sarkar, J Hagedorn, M Gearing, C Bruce Conference on New Directions in Analyzing Text as Data (TADA), 2022 | 2 | 2022 |
| Large language models struggle to describe the haystack without human help: Human-in-the-loop evaluation of llms Z Li, L Calvo-Bartolomé, A Hoyle, P Xu, A Dima, JF Fung, J Boyd-Graber arXiv preprint arXiv:2502.14748, 2025 | 1 | 2025 |
| Express Yourself (Ideologically): Legislators’ Ideal Points Across Audiences SR Gaynor, K Miler, P Goel, AM Hoyle, P Resnik | | 2025 |
| PairScale: Analyzing Attitude Change with Pairwise Comparisons R Sarkar, PY Wu, K Miler, AM Hoyle, P Resnik Findings of the Association for Computational Linguistics: NAACL 2025, 1722-1738, 2025 | | 2025 |
Philip ResnikProfessor, Linguistics and UMIACS, University of Marylandumd.edu üzerinde doğrulanmış e-posta adresine sahip