Publications

@article{onuallain2026autoindex,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  title = {{AutoIndex}: Learning Representation Programs for Retrieval},
  author = {O'Nuallain, Sam and Rajkumar, Nithya and Narayanasamy, Ramya and Jiang, Hanna and Chaudhari, Shreyas and Drozdov, Andrew},
  journal = {arXiv},
  year = {2026},
  arxiv = {https://arxiv.org/abs/2607.18603}
}

@inproceedings{arabzadeh2026qpp,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  title = {Can {QPP} Choose the Right Query Variant? Evaluating Query Variant Selection for {RAG} Pipelines},
  author = {Arabzadeh, Negar and Drozdov, Andrew and Bendersky, Michael and Zaharia, Matei},
  booktitle = {SIGIR},
  year = {2026},
  pages = {2813--2823},
  doi = {10.1145/3805712.3808571},
  arxiv = {https://arxiv.org/abs/2604.22661},
  html = {https://doi.org/10.1145/3805712.3808571}
}

@article{chang2026karl,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  title = {{KARL}: Knowledge Agents via Reinforcement Learning},
  author = {Chang, Jonathan D. and Drozdov, Andrew and Toshniwal, Shubham and Oertell, Owen and Trott, Alexander and Portes, Jacob and Gupta, Abhay and Koppol, Pallavi and Baheti, Ashutosh and Kulinski, Sean and Zhou, Ivan and Dea, Irene and Opsahl-Ong, Krista and Favreau-Lessard, Simon and Owen, Sean and Gonzalez Ortiz, Jose Javier and Singhvi, Arnav and Andrade, Xabi and Wang, Cindy and Sreenivasan, Kartik and Havens, Sam and Liu, Jialu and DeNiro, Peyton and Sun, Wen and Bendersky, Michael and Frankle, Jonathan},
  journal = {arXiv},
  year = {2026},
  arxiv = {https://arxiv.org/abs/2603.05218}
}

@article{ali2025sqlrlvr,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  title = {A State-of-the-Art {SQL} Reasoning Model using {RLVR}},
  author = {Ali, Alnur and Baheti, Ashutosh and Chang, Jonathan and Chi, Ta-Chung and Cui, Brandon and Drozdov, Andrew and Frankle, Jonathan and Gupta, Abhay and Koppol, Pallavi and Kulinski, Sean and Li, Jonathan and Misra, Dipendra and Opsahl-Ong, Krista and Gonzalez Ortiz, Jose Javier and Zaharia, Matei and Zhang, Yue},
  journal = {arXiv},
  year = {2025},
  arxiv = {https://arxiv.org/abs/2509.21459}
}

@article{thakur2025freshstack,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  title = {{FreshStack}: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents},
  author = {Thakur, Nandan and Lin, Jimmy and Havens, Sam and Carbin, Michael and Khattab, Omar and Drozdov, Andrew},
  journal = {arXiv},
  year = {2025},
  arxiv = {https://arxiv.org/abs/2504.13128}
}

@inproceedings{diaz2025remal,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  abbr = {Tutorial},
  title = {The Second Tutorial on {Retrieval-Enhanced Machine Learning}: Synthesis and Opportunities},
  author = {Diaz, Fernando and Drozdov, Andrew and Kim, To Eun and Salemi, Alireza and Zamani, Hamed},
  booktitle = {SIGIR},
  year = {2025},
  pages = {4130--4133},
  doi = {10.1145/3726302.3731695},
  html = {https://doi.org/10.1145/3726302.3731695}
}

@article{jacobs2024drowning,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  title = {{Drowning in Documents}: Consequences of Scaling Reranker Inference},
  author = {Jacob, Mathew and Lindgren, Erik and Zaharia, Matei and Carbin, Michael and Khattab, Omar and Drozdov, Andrew},
  journal = {arXiv},
  year = {2024},
  arxiv = {https://arxiv.org/abs/2411.11767}
}

@article{diaz2024remal,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  abbr = {Tutorial},
  title = {{Retrieval-Enhanced Machine Learning}: Synthesis and Opportunities},
  author = {Diaz, Fernando and Drozdov, Andrew and Kim, To Eun and Salemi, Alireza and Zamani, Hamed},
  journal = {SIGIR-AP},
  year = {2024},
  html = {https://dl.acm.org/doi/abs/10.1145/3673791.3698439}
}

@article{drozdov2024thesis,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  abbr = {Thesis},
  title = {Unlocking Natural Language Generalization with Adaptive Retrieval-based Methods},
  author = {Drozdov, Andrew},
  year = {2024},
  html = {https://scholarworks.umass.edu/entities/publication/04520d37-6227-4441-9ec8-e91495271ce8}
}

@article{drozdov2024redmm,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  title = {{ReDMM}: Retrieval Driven Memory Manager},
  author = {Drozdov, Andrew and McCallum, Andrew and Iyyer, Mohit},
  year = {2024}
}

@inproceedings{zhao2024multistage,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  abbr = {Long Paper},
  title = {Multistage collaborative knowledge distillation from a large language model for semi-supervised sequence generation},
  author = {Zhao, Jiachen and Zhao, Wenlong and Drozdov, Andrew and Rozonoyer, Benjamin and Sultan, Md Arafat and Lee, Jay Yoon and Iyyer, Mohit and McCallum, Andrew},
  booktitle = {ACL},
  year = {2024},
  arxiv = {https://aclanthology.org/2024.acl-long.766/}
}

@inproceedings{drozdov2023parade,
  bibtex_show = {true},
  selected = {true},
  abbr = {Short Paper},
  category = {main},
  title = {{PaRaDe}: Passage Ranking using Demonstrations with LLMs},
  author = {Drozdov, Andrew and Zhuang, Honglei and Dai, Zhuyun and Qin, Zhen and Rahimi, Razieh and Wang, Xuanhui and Alon, Dana and Iyyer, Mohit and McCallum, Andrew and Metzler, Donald and Hui, Kai},
  year = {2023},
  booktitle = {EMNLP (Findings)},
  arxiv = {https://arxiv.org/abs/2310.14408}
}

@inproceedings{wang2023knnlm,
  bibtex_show = {true},
  selected = {true},
  abbr = {Long Paper},
  category = {main},
  title = {{kNN-LM} Does Not Improve Open-ended Text Generation},
  author = {Wang, Shufan and Song, Yixiao and Drozdov, Andrew and Garimella, Aparna and Manjunatha, Varun and Iyyer, Mohit},
  year = {2023},
  booktitle = {EMNLP},
  arxiv = {https://arxiv.org/abs/2305.14625}
}

@inproceedings{drozdov2022compositional,
  bibtex_show = {true},
  selected = {true},
  abbr = {Long Paper},
  category = {main},
  title = {Compositional Semantic Parsing with Large Language Models},
  author = {Drozdov, Andrew and Schärli, Nathanael and Akyürek, Ekin and Scales, Nathan and Song, Xinying and Chen, Xinyun and Bousquet, Olivier and Zhou, Denny},
  year = {2023},
  booktitle = {ICLR},
  award = {Poster},
  arxiv = {https://arxiv.org/abs/2209.15003}
}

@inproceedings{drozdov2022knnlm,
  bibtex_show = {true},
  selected = {true},
  abbr = {Long Paper},
  category = {main},
  title = {You can't pick your neighbors, or can you? {W}hen and how to rely on retrieval in the {kNN-LM}},
  author = {Drozdov, Andrew and Wang, Shufan and Rahimi, Razieh and McCallum, Andrew and Zamani, Hamed and Iyyer, Mohit},
  booktitle = {EMNLP (Findings)},
  award = {Findings},
  year = {2022},
  pdf = {https://mrdrozdov.github.io/knnlm_retrieval_quality.pdf}
}

@inproceedings{drozdov2022amralign,
  bibtex_show = {true},
  selected = {true},
  abbr = {Long Paper},
  award = {Poster},
  category = {main},
  title = {Inducing and Using Alignments for Transition-based AMR Parsing},
  author = {Drozdov, Andrew and Zhou, Jiawei and Florian, Radu and McCallum, Andrew and Naseem, Tahira and Kim, Yoon and Astudillo, Ramon Fernandez},
  booktitle = {NAACL},
  year = {2022},
  arxiv = {https://arxiv.org/abs/2205.01464},
  code = {https://github.com/IBM/transition-amr-parser}
}

@inproceedings{diora2021distantdiora,
  bibtex_show = {true},
  selected = {true},
  abbr = {Long Paper},
  award = {Poster},
  category = {main},
  title = {Improved Latent Tree Induction with Distant Supervision via Span Constraints},
  author = {Xu, Zhiyang and Drozdov, Andrew and Lee, Jay Yoon and O{'}Gorman, Tim and Rongali, Subendhu and Finkbeiner, Dylan and Suresh, Shilpa and Iyyer, Mohit and McCallum, Andrew},
  booktitle = {EMNLP},
  year = {2021},
  arxiv = {https://arxiv.org/abs/2109.05112},
  code = {https://github.com/iesl/distantly-supervised-diora}
}

@inproceedings{drozdov2020sdiora,
  bibtex_show = {true},
  selected = {true},
  abbr = {Long Paper},
  award = {Poster},
  category = {main},
  title = {Unsupervised Parsing with {S-DIORA}: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders},
  author = {Drozdov, Andrew and Rongali, Subendhu and Chen, Yi-Pei and O{'}Gorman, Tim and Iyyer, Mohit and McCallum, Andrew},
  booktitle = {EMNLP},
  pdf = {https://aclanthology.org/2020.emnlp-main.392/},
  year = {2020}
}

@inproceedings{emnl2020biorxivimpact,
  bibtex_show = {true},
  selected = {true},
  category = {workshop},
  abbr = {Long Paper},
  award = {Oral},
  arxiv = {https://www.biorxiv.org/content/10.1101/2020.10.08.330696v1},
  code = {https://github.com/seasonyao/BiorXivImpact},
  title = {The Impact of Preprint Servers in the Formation of Novel Ideas},
  author = {Satish, Swarup and Yao, Zonghai and Drozdov, Andrew and Veytsman, Boris},
  booktitle = {EMNLP (Workshop on Scholarly Document Processing)},
  workshop = {https://ornlcda.github.io/SDProc/},
  year = {2020}
}

@inproceedings{drozdov2019dioralabeled,
  bibtex_show = {true},
  selected = {true},
  abbr = {Short Paper},
  award = {Poster},
  category = {main},
  author = {Drozdov, Andrew and Verga, Patrick and Chen, Yi-Pei and Iyyer, Mohit and McCallum, Andrew},
  title = {Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Auto-Encoders},
  booktitle = {EMNLP},
  pdf = {https://aclanthology.org/D19-1161/},
  code = {https://github.com/iesl/diora},
  year = {2019}
}

@inproceedings{drozdov2019diora,
  bibtex_show = {true},
  selected = {true},
  abbr = {Long Paper},
  award = {Oral},
  category = {main},
  author = {Drozdov, Andrew and Verga, Patrick and Yadav, Mohit and Iyyer, Mohit and McCallum, Andrew},
  title = {Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive
                 Autoencoders},
  booktitle = {NAACL},
  arxiv = {https://arxiv.org/abs/1904.02142},
  code = {https://github.com/iesl/diora},
  year = {2019}
}

@article{Williams2018DoLT,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  abbr = {Journal},
  award = {Oral},
  title = {Do latent tree learning models identify meaningful structure in sentences?},
  author = {Williams, Adina and Drozdov, Andrew and Bowman, Samuel R.},
  journal = {TACL},
  year = {2018},
  volume = {6},
  code = {https://github.com/nyu-mll/spinn},
  arxiv = {https://arxiv.org/abs/1709.01121},
  pages = {253-267}
}

@inproceedings{iclr2018emergent,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  abbr = {Long Paper},
  award = {Poster},
  arxiv = {https://arxiv.org/abs/1705.10369},
  title = {Emergent Communication in a Multi-Modal, Multi-Step Referential Game},
  author = {Evtimova, Katrina and Drozdov, Andrew and Kiela, Douwe and Cho, Kyunghyun},
  booktitle = {ICLR},
  year = {2018},
  code = {https://github.com/nyu-dl/MultimodalGame}
}

@inproceedings{acl2017coadapt,
  bibtex_show = {true},
  selected = {true},
  category = {workshop},
  abbr = {Ext. Abstract},
  award = {Poster},
  pdf = {https://github.com/nyu-mll/spinn/blob/master/writing/acl17-latex/acl2017.pdf},
  title = {The Coadaptation Problem when Learning How and What to Compose},
  author = {Drozdov, Andrew and Bowman, Samuel R.},
  booktitle = {ACL (Workshop on Representation Learning for NLP)},
  workshop = {https://sites.google.com/site/repl4nlp2017/},
  year = {2017}
}