Emergent Language in a Multi-Modal, Multi-Step Referential Game. - Katrina Evtimova; Andrew Drozdov; Douwe Kiela; Kyunghyun Cho (CoRR, 2017)

Learning to parse from a semantic objective: It works. Is it syntax? - Adina Williams; Andrew Drozdov; Samuel R. Bowman (CoRR, 2017)

Emergent Communication in a Multi-Modal, Multi-Step Referential Game. - Katrina Evtimova; Andrew Drozdov; Douwe Kiela; Kyunghyun Cho (ICLR (Poster), 2018)

Do latent tree learning models identify meaningful structure in sentences? - Adina Williams; Andrew Drozdov; Samuel R. Bowman (Trans. Assoc. Comput. Linguistics, 2018)

Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders. - Andrew Drozdov; Patrick Verga; Yi-Pei Chen 001; Mohit Iyyer; Andrew McCallum (EMNLP/IJCNLP (1), 2019)

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders. - Andrew Drozdov; Patrick Verga; Mohit Yadav; Mohit Iyyer; Andrew McCallum (NAACL-HLT (1), 2019)

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders. - Andrew Drozdov; Patrick Verga; Mohit Yadav; Mohit Iyyer; Andrew McCallum (CoRR, 2019)

Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders. - Andrew Drozdov; Subendhu Rongali; Yi-Pei Chen 001; Tim O'Gorman; Mohit Iyyer; Andrew McCallum (EMNLP (1), 2020)

The impact of preprint servers in the formation of novel ideas. - Swarup Satish; Zonghai Yao; Andrew Drozdov; Boris Veytsman (SDP@EMNLP, 2020)

Improved Latent Tree Induction with Distant Supervision via Span Constraints. - Zhiyang Xu; Andrew Drozdov; Jay-Yoon Lee; Tim O'Gorman; Subendhu Rongali; Dylan Finkbeiner; Shilpa Suresh; Mohit Iyyer; Andrew McCallum (EMNLP (1), 2021)

You can't pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM. - Andrew Drozdov; Shufan Wang; Razieh Rahimi; Andrew McCallum; Hamed Zamani; Mohit Iyyer (EMNLP (Findings), 2022)

Inducing and Using Alignments for Transition-based AMR Parsing. - Andrew Drozdov; Jiawei Zhou 001; Radu Florian; Andrew McCallum; Tahira Naseem; Yoon Kim; Ramón Fernandez Astudillo (NAACL-HLT, 2022)

PaRaDe: Passage Ranking using Demonstrations with LLMs. - Andrew Drozdov; Honglei Zhuang; Zhuyun Dai; Zhen Qin 001; Razieh Rahimi; Xuanhui Wang; Dana Alon; Mohit Iyyer; Andrew McCallum; Donald Metzler; Kai Hui 001 (EMNLP (Findings), 2023)

kNN-LM Does Not Improve Open-ended Text Generation. - Shufan Wang; Yixiao Song; Andrew Drozdov; Aparna Garimella; Varun Manjunatha; Mohit Iyyer (EMNLP, 2023)

Compositional Semantic Parsing with Large Language Models. - Andrew Drozdov; Nathanael Schärli; Ekin Akyürek; Nathan Scales; Xinying Song; Xinyun Chen; Olivier Bousquet; Denny Zhou (ICLR, 2023)

PaRaDe: Passage Ranking using Demonstrations with Large Language Models. - Andrew Drozdov; Honglei Zhuang; Zhuyun Dai; Zhen Qin 001; Razieh Rahimi; Xuanhui Wang; Dana Alon; Mohit Iyyer; Andrew McCallum; Donald Metzler; Kai Hui 001 (CoRR, 2023)

Multistage Collaborative Knowledge Distillation from Large Language Models. - Jiachen Zhao; Wenlong Zhao 001; Andrew Drozdov; Benjamin Rozonoyer; Md. Arafat Sultan; Jay-Yoon Lee; Mohit Iyyer; Andrew McCallum (CoRR, 2023)

Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation. - Jiachen Zhao; Wenlong Zhao 001; Andrew Drozdov; Benjamin Rozonoyer; Md. Arafat Sultan; Jay-Yoon Lee; Mohit Iyyer; Andrew McCallum (ACL (1), 2024)

Retrieval-Enhanced Machine Learning: Synthesis and Opportunities. - Fernando Diaz 001; Andrew Drozdov; To Eun Kim; Alireza Salemi; Hamed Zamani (SIGIR-AP, 2024)

Drowning in Documents: Consequences of Scaling Reranker Inference. - Mathew Jacob; Erik Lindgren; Matei Zaharia; Michael Carbin; Omar Khattab; Andrew Drozdov (CoRR, 2024)

The Second Tutorial on Retrieval-Enhanced Machine Learning: Synthesis and Opportunities. - Fernando Diaz 001; Andrew Drozdov; To Eun Kim; Alireza Salemi; Hamed Zamani (SIGIR, 2025)

FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents. - Nandan Thakur; Jimmy Lin; Sam Havens; Michael Carbin; Omar Khattab; Andrew Drozdov (CoRR, 2025)