Biclique Coverings, Rectifier Networks and the Cost of ε-Removal. - Szabolcs Iván; Ádám Dániel Lelkes; Judit Nagy-György; Balázs Szörényi; György Turán (DCFS, 2014)

Network installation and recovery: approximation lower bounds and faster exact formulations. - Alexander Gutfraind; Jeremy Kun; Ádám Dániel Lelkes; Lev Reyzin (CoRR, 2014)

Biclique coverings, rectifier networks and the cost of $ varepsilon$-removal. - Szabolcs Iván; Ádám Dániel Lelkes; Judit Nagy-György; Balázs Szörényi; György Turán (CoRR, 2014)

Interactive Clustering of Linear Classes and Cryptographic Lower Bounds. - Ádám Dániel Lelkes; Lev Reyzin (ALT, 2015)

On the Computational Complexity of MapReduce. - Benjamin Fish; Jeremy Kun; Ádám Dániel Lelkes; Lev Reyzin; György Turán (DISC, 2015)

A Confidence-Based Approach for Balancing Fairness and Accuracy. - Benjamin Fish; Jeremy Kun; Ádám Dániel Lelkes (SDM, 2016)

Network installation under convex costs. - Alexander Gutfraind; Jeremy Kun; Ádám Dániel Lelkes; Lev Reyzin (J. Complex Networks, 2016)

Investigating Rumor News Using Agreement-Aware Search. - Jingbo Shang; Jiaming Shen; Tianhang Sun; Xingbang Liu; Anja Gruenheid; Flip Korn; Ádám D. Lelkes; Cong Yu 001; Jiawei Han 001 (CIKM, 2018)

AgreeSum: Agreement-Oriented Multi-Document Summarization. - Richard Yuanzhe Pang; Ádám Dániel Lelkes; Vinh Q. Tran 002; Cong Yu 001 (ACL/IJCNLP (Findings), 2021)

Quiz-Style Question Generation for News Stories. - Ádám D. Lelkes; Vinh Q. Tran 002; Cong Yu 001 (WWW, 2021)

Instability in clinical risk stratification models using deep learning. - Daniel Lopez Martinez; Alex Yakubovich; Martin Seneviratne; Ádám D. Lelkes; Akshit Tyagi; Jonas Kemp; Ethan Steinberg; N. Lance Downing; Ron C. Li; Keith E. Morse; Nigam H. Shah; Ming-Jun Chen (ML4H@NeurIPS, 2022)

Automated LOINC Standardization Using Pre-trained Large Language Models. - Tao Tu 001; Eric Loreaux; Emma Chesley; Ádám D. Lelkes; Paul Gamble; Mathias Bellaiche; Martin Seneviratne; Ming-Jun Chen (ML4H@NeurIPS, 2022)

All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass. - Jiaxin Huang 001; Tianqi Liu 002; Jialu Liu; Ádám D. Lelkes; Cong Yu 001; Jiawei Han 001 (CoRR, 2022)

SDOH-NLI: a Dataset for Inferring Social Determinants of Health from Clinical Notes. - Ádám D. Lelkes; Eric Loreaux; Tal Schuster; Ming-Jun Chen; Alvin Rajkomar (EMNLP (Findings), 2023)

How Does Generative Retrieval Scale to Millions of Passages? - Ronak Pradeep; Kai Hui 001; Jai Gupta 001; Ádám D. Lelkes; Honglei Zhuang; Jimmy Lin; Donald Metzler; Vinh Q. Tran 002 (EMNLP, 2023)

SEMQA: Semi-Extractive Multi-Source Question Answering. - Tal Schuster; Ádám D. Lelkes; Haitian Sun; Jai Gupta 001; Jonathan Berant; William W. Cohen; Donald Metzler (NAACL-HLT, 2024)