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Andrew Drozdov
Andrew Drozdov
University of Massachusetts Amherst
Potvrđena adresa e-pošte na cs.umass.edu - Početna stranica
Naslov
Citirano
Citirano
Godina
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
156*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
1312017
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
1142019
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
842022
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
282020
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
152022
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
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
132022
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
72023
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, ...
62021
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
4*2023
Understanding mutual information and its use in infogan
K Evtimova, A Drozdov
32016
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
22023
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
22020
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
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
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