Andrew Drozdov

According to our database1, Andrew Drozdov authored at least 17 papers between 2017 and 2023.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2002, "For the development of knowledge-based codes for modeling and simulation of complex systems for Electromagnetic Compatibility".

Timeline

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Bibliography

2023
Multistage Collaborative Knowledge Distillation from Large Language Models.
CoRR, 2023

PaRaDe: Passage Ranking using Demonstrations with Large Language Models.
CoRR, 2023

Compositional Semantic Parsing with Large Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

kNN-LM Does Not Improve Open-ended Text Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PaRaDe: Passage Ranking using Demonstrations with LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Inducing and Using Alignments for Transition-based AMR Parsing.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

You can't pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Improved Latent Tree Induction with Distant Supervision via Span Constraints.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
The impact of preprint servers in the formation of novel ideas.
Proceedings of the First Workshop on Scholarly Document Processing, 2020

Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders.
CoRR, 2019

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Do latent tree learning models identify meaningful structure in sentences?
Trans. Assoc. Comput. Linguistics, 2018

Emergent Communication in a Multi-Modal, Multi-Step Referential Game.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Learning to parse from a semantic objective: It works. Is it syntax?
CoRR, 2017

Emergent Language in a Multi-Modal, Multi-Step Referential Game.
CoRR, 2017


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