| 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 | 127* | 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 | 67 | 2019 |
| 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 | 60 | 2021 |
| 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 | 43 | 2020 |
| 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 | 24 | 2021 |
| 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 | 19 | 2022 |
| TopicGPT: A prompt-based topic modeling framework CM Pham, A Hoyle, S Sun, M Iyyer arXiv preprint arXiv:2311.01449, 2023 | 18 | 2023 |
| 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 | 13 | 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 | 9 | 2019 |
| 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 | 5 | 2023 |
| 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 | 4 | 2024 |
| Natural Language Decompositions of Implicit Content Enable Better Text Representations A Hoyle, R Sarkar, P Goel, P Resnik arXiv preprint arXiv:2305.14583, 2023 | 4* | 2023 |
| 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 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 | | 2024 |
| 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 | | 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 | | 2022 |
| Voting the District or Talking the District? SR Gaynor, K Miler, P Resnik, P Goel, A Hoyle Women in Legislative Studies, 2022 | | 2022 |
Pranav GoelNetwork Science Institute, Northeastern UniversityVerified email at northeastern.edu
