Towards Realistic Single-Task Continuous Learning Research for NER. - Justin Payan; Yuval Merhav; He Xie; Satyapriya Krishna; Anil Ramakrishna; Mukund Sridhar; Rahul Gupta 001 (EMNLP (Findings), 2021)

Online Post-Processing in Rankings for Fair Utility Maximization. - Ananya Gupta; Eric Johnson; Justin Payan; Aditya Kumar Roy; Ari Kobren; Swetasudha Panda; Jean-Baptiste Tristan; Michael L. Wick (WSDM, 2021)

Fair Allocation Problems in Reviewer Assignment. - Justin Payan (AAMAS, 2022)

I Will Have Order! Optimizing Orders for Fair Reviewer Assignment. - Justin Payan; Yair Zick (IJCAI, 2022)

Locally EFX Allocations Over a Graph. - Justin Payan; Rik Sengupta; Vignesh Viswanathan (CoRR, 2022)

Graphical House Allocation. - Hadi Hosseini; Justin Payan; Rik Sengupta; Rohit Vaish; Vignesh Viswanathan (AAMAS, 2023)

Relaxations of Envy-Freeness Over Graphs. - Justin Payan; Rik Sengupta; Vignesh Viswanathan (AAMAS, 2023)

InstructExcel: A Benchmark for Natural Language Instruction in Excel. - Justin Payan; Swaroop Mishra; Mukul Singh; Carina Negreanu; Christian Pölitz; Chitta Baral; Subhro Roy; Rasika Chakravarthy; Benjamin Van Durme; Elnaz Nouri (EMNLP (Findings), 2023)

Into the Unknown: Assigning Reviewers to Papers with Uncertain Affinities. - Cyrus Cousins; Justin Payan; Yair Zick (SAGT, 2023)

Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty. - Elita A. Lobo; Justin Payan; Cyrus Cousins; Yair Zick (NeurIPS, 2024)

Graphical house allocation with identical valuations. - Hadi Hosseini; Andrew McGregor 001; Justin Payan; Rik Sengupta; Rohit Vaish; Vignesh Viswanathan (Auton. Agents Multi Agent Syst., 2024)