Ádám Dániel Lelkes

According to our database, Ádám Dániel Lelkes authored at least 16 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

SEMQA: Semi-Extractive Multi-Source Question Answering.

Tal Schuster, Ádám D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler

CoRR, 2023

How Does Generative Retrieval Scale to Millions of Passages?

Ronak Pradeep, Kai Hui, Jai Gupta, Ádám D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass.

Jiaxin Huang, Tianqi Liu, Jialu Liu, Ádám D. Lelkes, Cong Yu, Jiawei Han

CoRR, 2022

Automated LOINC Standardization Using Pre-trained Large Language Models.

Tao Tu, Eric Loreaux, Emma Chesley, Ádám D. Lelkes, Paul Gamble, Mathias Bellaiche, Martin Seneviratne, Ming-Jun Chen

Proceedings of the Machine Learning for Health, 2022

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

Proceedings of the Machine Learning for Health, 2022

2021

Quiz-Style Question Generation for News Stories.

Ádám D. Lelkes, Vinh Q. Tran, Cong Yu

Proceedings of the WWW '21: The Web Conference 2021, 2021

AgreeSum: Agreement-Oriented Multi-Document Summarization.

Richard Yuanzhe Pang, Ádám Dániel Lelkes, Vinh Q. Tran, Cong Yu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2018

Investigating Rumor News Using Agreement-Aware Search.

Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016

Network installation under convex costs.

Alexander Gutfraind, Jeremy Kun, Ádám Dániel Lelkes, Lev Reyzin

J. Complex Networks, 2016

A Confidence-Based Approach for Balancing Fairness and Accuracy.

Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

2015

On the Computational Complexity of MapReduce.

Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes, Lev Reyzin, György Turán

Proceedings of the Distributed Computing - 29th International Symposium, 2015

Interactive Clustering of Linear Classes and Cryptographic Lower Bounds.

Ádám Dániel Lelkes, Lev Reyzin

Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

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

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 ε-Removal.

Szabolcs Iván, Ádám Dániel Lelkes, Judit Nagy-György, Balázs Szörényi, György Turán

Proceedings of the Descriptional Complexity of Formal Systems, 2014