| Do latent tree learning models identify meaningful structure in sentences? A Williams, A Drozdov, SR Bowman Transactions of the Association for Computational Linguistics 6, 253-267, 2018 | 160* | 2018 |
| Emergent communication in a multi-modal, multi-step referential game K Evtimova, A Drozdov, D Kiela, K Cho arXiv preprint arXiv:1705.10369, 2017 | 139* | 2017 |
| Unsupervised latent tree induction with deep inside-outside recursive autoencoders A Drozdov, P Verga, M Yadav, M Iyyer, A McCallum arXiv preprint arXiv:1904.02142, 2019 | 123 | 2019 |
| Compositional Semantic Parsing with Large Language Models A Drozdov, N Schärli, E Akyürek, N Scales, X Song, X Chen, O Bousquet, ... arXiv preprint arXiv:2209.15003, 2022 | 110 | 2022 |
| Unsupervised parsing with S-DIORA: Single tree encoding for deep inside-outside recursive autoencoders A Drozdov, S Rongali, YP Chen, T O’Gorman, M Iyyer, A McCallum Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 31 | 2020 |
| Inducing and Using Alignments for Transition-based AMR Parsing A Drozdov, J Zhou, R Florian, A McCallum, T Naseem, Y Kim, RF Astudillo arXiv preprint arXiv:2205.01464, 2022 | 25 | 2022 |
| You can't pick your neighbors, or can you? When and how to rely on retrieval in the NN-LM A Drozdov, S Wang, R Rahimi, A McCallum, H Zamani, M Iyyer | 21 | 2022 |
| Unsupervised labeled parsing with deep inside-outside recursive autoencoders A Drozdov, P Verga, YP Chen, M Iyyer, A McCallum Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 15 | 2019 |
| PaRaDe: Passage Ranking using Demonstrations with Large Language Models A Drozdov, H Zhuang, Z Dai, Z Qin, R Rahimi, X Wang, D Alon, M Iyyer, ... arXiv preprint arXiv:2310.14408, 2023 | 13* | 2023 |
| KNN-LM Does Not Improve Open-ended Text Generation S Wang, Y Song, A Drozdov, A Garimella, V Manjunatha, M Iyyer arXiv preprint arXiv:2305.14625, 2023 | 11 | 2023 |
| Improved Latent Tree Induction with Distant Supervision via Span Constraints Z Xu, A Drozdov, JY Lee, T O'Gorman, S Rongali, D Finkbeiner, S Suresh, ... | 8 | 2021 |
| The impact of preprint servers in the formation of novel ideas S Satish, Z Yao, A Drozdov, B Veytsman BioRxiv, 2020.10. 08.330696, 2020 | 3 | 2020 |
| Understanding mutual information and its use in infogan K Evtimova, A Drozdov | 3 | 2016 |
| Retrieval-Enhanced Machine Learning: Synthesis and Opportunities TE Kim, A Salemi, A Drozdov, F Diaz, H Zamani arXiv preprint arXiv:2407.12982, 2024 | 2 | 2024 |
| The coadaptation problem when learning how and what to compose A Drozdov, S Bowman Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017 | 2 | 2017 |
| Multistage Collaborative Knowledge Distillation from Large Language Models J Zhao, W Zhao, A Drozdov, B Rozonoyer, MA Sultan, JY Lee, M Iyyer, ... arXiv preprint arXiv:2311.08640, 2023 | | 2023 |
| POS Tagging and Chunking with Subword2Word models S Jean, A Drozdov, A Jain | | |
| Batched Shift Reduce Parsing with Lists of Vectors on CUDA A Drozdov | | |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
