Search Results for author: Justin Payan

Found 3 papers, 1 papers with code

InstructExcel: A Benchmark for Natural Language Instruction in Excel

no code implementations23 Oct 2023 Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Poelitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri

With the evolution of Large Language Models (LLMs) we can solve increasingly more complex NLP tasks across various domains, including spreadsheets.

Graphical House Allocation

no code implementations3 Jan 2023 Hadi Hosseini, Justin Payan, Rik Sengupta, Rohit Vaish, Vignesh Viswanathan

The classical house allocation problem involves assigning $n$ houses (or items) to $n$ agents according to their preferences.

Fairness

Towards Realistic Single-Task Continuous Learning Research for NER

1 code implementation Findings (EMNLP) 2021 Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar, Rahul Gupta

There is an increasing interest in continuous learning (CL), as data privacy is becoming a priority for real-world machine learning applications.

NER

Cannot find the paper you are looking for? You can Submit a new open access paper.