activity
20202025
most citedA Nepali Rule Based Stemmer and its performance on different NLP applications

9 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.GT2025

Locally Optimal Solutions for Integer Programming Games

Pravesh Koirala, Mel Krusniak, Forrest Laine

Integer programming games (IPGs) are n-person games with integer strategy spaces. These games are used to model non-cooperative combinatorial decision-making and are used in domain…

cs.GT2024★ 1 cited

Algorithmic collusion in a two-sided market: A rideshare example

Pravesh Koirala, Forrest Laine

With dynamic pricing on the rise, firms are using sophisticated algorithms for price determination. These algorithms are often non-interpretable and there has been a recent interes…

cs.GT2024

Decreasing Wages in Gig Economy: A Game Theoretic Explanation Using Mathematical Program Networks

Pravesh Koirala, Forrest Laine

Gig economy consists of two market groups connected via an intermediary. Popular examples are rideshares where passengers and drivers are mediated via platforms such as Uber and Ly…

cs.CL2024★ 1 cited

Laying Anchors: Semantically Priming Numerals in Language Modeling

Mandar Sharma, Rutuja Murlidhar Taware, Pravesh Koirala +2

Off-the-shelf pre-trained language models have become the de facto standard in NLP pipelines for a multitude of downstream tasks. However, the inability of these models to properly…

cs.GT2023★ 2 cited

Monte Carlo Optimization for Solving Multilevel Stackelberg Games

Pravesh Koirala, Forrest Laine

Stackelberg games originate where there are market leaders and followers, and the actions of leaders influence the behavior of the followers. Mathematical modelling of such games r…

cs.CL2020★ 9 cited

A Nepali Rule Based Stemmer and its performance on different NLP applications

Pravesh Koirala, Aman Shakya

Stemming is an integral part of Natural Language Processing (NLP). It's a preprocessing step in almost every NLP application. Arguably, the most important usage of stemming is in I…