Andrew Drozdov

30 papers A* 3Journal 16Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
KARL: Knowledge Agents via Reinforcement Learning.
CoRR
Jonathan D. Chang, Andrew Drozdov, Shubham Toshniwal, Owen Oertell, Alexander Trott, Jacob P. Portes, Abhay Gupta, Pallavi Koppol, Ashutosh Baheti, Sean Kulinski, Ivan Zhou, Irene Dea, Krista Opsahl-Ong, Simon Favreau-Lessard, Sean Owen, Jose Javier Gonzalez Ortiz, Arnav Singhvi, Xabi Andrade, Cindy Wang, Kartik Sreenivasan, Sam Havens, Jialu Liu, Peyton DeNiro, Wen Sun, Michael Bendersky, Jonathan Frankle
2025 J jnl
A State-of-the-Art SQL Reasoning Model using RLVR.
CoRR
Alnur Ali, Ashutosh Baheti, Jonathan Chang, Ta-Chung Chi, Brandon Cui, Andrew Drozdov, Jonathan Frankle, Abhay Gupta, Pallavi Koppol, Sean Kulinski, Jonathan Li, Dipendra Misra, Krista Opsahl-Ong, Jose Javier Gonzalez Ortiz, Matei Zaharia, Yue Zhang
2025 J jnl
FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents.
CoRR
Nandan Thakur, Jimmy Lin, Sam Havens, Michael Carbin, Omar Khattab, Andrew Drozdov
2025 A* conf
The Second Tutorial on Retrieval-Enhanced Machine Learning: Synthesis and Opportunities.
SIGIR
Fernando Diaz, Andrew Drozdov, To Eun Kim, Alireza Salemi, Hamed Zamani
2024 J jnl
Drowning in Documents: Consequences of Scaling Reranker Inference.
CoRR
Mathew Jacob, Erik Lindgren, Matei Zaharia, Michael Carbin, Omar Khattab, Andrew Drozdov
2024 — conf
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation.
ACL (1)
Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum
2024 — conf
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities.
SIGIR-AP
Fernando Diaz, Andrew Drozdov, To Eun Kim, Alireza Salemi, Hamed Zamani
2024 J jnl
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities.
CoRR
To Eun Kim, Alireza Salemi, Andrew Drozdov, Fernando Diaz, Hamed Zamani
2023 A* conf
Compositional Semantic Parsing with Large Language Models.
ICLR
Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou
2023 J jnl
KNN-LM Does Not Improve Open-ended Text Generation.
CoRR
Shufan Wang, Yixiao Song, Andrew Drozdov, Aparna Garimella, Varun Manjunatha, Mohit Iyyer
2023 J jnl
Multistage Collaborative Knowledge Distillation from Large Language Models.
CoRR
Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum
2023 — conf
PaRaDe: Passage Ranking using Demonstrations with LLMs.
EMNLP (Findings)
Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
2023 J jnl
PaRaDe: Passage Ranking using Demonstrations with Large Language Models.
CoRR
Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
2023 A* conf
kNN-LM Does Not Improve Open-ended Text Generation.
EMNLP
Shufan Wang, Yixiao Song, Andrew Drozdov, Aparna Garimella, Varun Manjunatha, Mohit Iyyer
2022 J jnl
Compositional Semantic Parsing with Large Language Models.
CoRR
Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou
2022 — conf
Inducing and Using Alignments for Transition-based AMR Parsing.
NAACL-HLT
Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, Ramón Fernandez Astudillo
2022 J jnl
Inducing and Using Alignments for Transition-based AMR Parsing.
CoRR
Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, Ramón Fernandez Astudillo
2022 — conf
You can't pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM.
EMNLP (Findings)
Andrew Drozdov, Shufan Wang, Razieh Rahimi, Andrew McCallum, Hamed Zamani, Mohit Iyyer
2022 J jnl
You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LM.
CoRR
Andrew Drozdov, Shufan Wang, Razieh Rahimi, Andrew McCallum, Hamed Zamani, Mohit Iyyer
2021 — conf
Improved Latent Tree Induction with Distant Supervision via Span Constraints.
EMNLP (1)
Zhiyang Xu, Andrew Drozdov, Jay-Yoon Lee, Tim O'Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, Andrew McCallum
2021 J jnl
Improved Latent Tree Induction with Distant Supervision via Span Constraints.
CoRR
Zhiyang Xu, Andrew Drozdov, Jay-Yoon Lee, Tim O'Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, Andrew McCallum
2020 — conf
The impact of preprint servers in the formation of novel ideas.
SDP@EMNLP
Swarup Satish, Zonghai Yao, Andrew Drozdov, Boris Veytsman
2020 — conf
Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders.
EMNLP (1)
Andrew Drozdov, Subendhu Rongali, Yi-Pei Chen, Tim O'Gorman, Mohit Iyyer, Andrew McCallum
2019 — conf
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders.
EMNLP/IJCNLP (1)
Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, Andrew McCallum
2019 — conf
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders.
NAACL-HLT (1)
Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum
2019 J jnl
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders.
CoRR
Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum
2018 J jnl
Do latent tree learning models identify meaningful structure in sentences?
Trans. Assoc. Comput. Linguistics
Adina Williams, Andrew Drozdov, Samuel R. Bowman
2018 — conf
Emergent Communication in a Multi-Modal, Multi-Step Referential Game.
ICLR (Poster)
Katrina Evtimova, Andrew Drozdov, Douwe Kiela, Kyunghyun Cho
2017 J jnl
Emergent Language in a Multi-Modal, Multi-Step Referential Game.
CoRR
Katrina Evtimova, Andrew Drozdov, Douwe Kiela, Kyunghyun Cho
2017 J jnl
Learning to parse from a semantic objective: It works. Is it syntax?
CoRR
Adina Williams, Andrew Drozdov, Samuel R. Bowman