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Andrew Drozdov
Andrew Drozdov
Research Scientist, Databricks
Verified email at databricks.com - Homepage
Title
Cited by
Cited by
Year
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
144*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
1262019
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
1252022
Detection and repair of broken single sign-on integration
AD Reman Child, Hassen Karaa, Xin Gu, Hector Aguilar-Macias
US Patent App. 14/846,706, 2017
79*2017
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
322020
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
282022
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
23*2022
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
17*2023
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
152019
Multistage collaborative knowledge distillation from a large language model for semi-supervised sequence generation
J Zhao, W Zhao, A Drozdov, B Rozonoyer, MA Sultan, JY Lee, M Iyyer, ...
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
12*2024
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
112023
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, ...
92021
Interaction analysis and prediction based neural networking
HY Daniel Galron, Yuri Michael Brovman, Benjamin Eliot Klein, Andrew Drozdov
US Patent App. 15/869,364, 2018
8*2018
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
32020
Understanding mutual information and its use in infogan
K Evtimova, A Drozdov
32016
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
TE Kim, A Salemi, A Drozdov, F Diaz, H Zamani
arXiv preprint arXiv:2407.12982, 2024
22024
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
22017
Drowning in Documents: Consequences of Scaling Reranker Inference
M Jacob, E Lindgren, M Zaharia, M Carbin, O Khattab, A Drozdov
arXiv preprint arXiv:2411.11767, 2024
2024
Combining generative aligners and transition-based parsers
YHK Ramon Fernandez Astudillo, Andrew Drozdov, Jiawei Zhou, Radu Florian ...
US Patent App. 18/308,167, 2024
2024
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