activity
20192025
most citedLexically-Accelerated Dense Retrieval

30 citations · 39 across the 7 of their papers we have counts for

collaborators

8 papers

cs.IR2025

GRIT: Graph-based Recall Improvement for Task-oriented E-commerce Queries

Hrishikesh Kulkarni, Surya Kallumadi, Sean MacAvaney +2

Many e-commerce search pipelines have four stages, namely: retrieval, filtering, ranking, and personalized-reranking. The retrieval stage must be efficient and yield high recall be…

cs.IR2024★ 8 cited

LexBoost: Improving Lexical Document Retrieval with Nearest Neighbors

Hrishikesh Kulkarni, Nazli Goharian, Ophir Frieder +1

Sparse retrieval methods like BM25 are based on lexical overlap, focusing on the surface form of the terms that appear in the query and the document. The use of inverted indices in…

cs.CL2024

Genetic Approach to Mitigate Hallucination in Generative IR

Hrishikesh Kulkarni, Nazli Goharian, Ophir Frieder +1

Generative language models hallucinate. That is, at times, they generate factually flawed responses. These inaccuracies are particularly insidious because the responses are fluent…

cs.IR2023★ 30 cited

Lexically-Accelerated Dense Retrieval

Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian +1

Retrieval approaches that score documents based on learned dense vectors (i.e., dense retrieval) rather than lexical signals (i.e., conventional retrieval) are increasingly popular…

cs.IR2021

Sentiment Progression based Searching and Indexing of Literary Textual Artefacts

Hrishikesh Kulkarni, Bradly Alicea

Literary artefacts are generally indexed and searched based on titles, meta data and keywords over the years. This searching and indexing works well when user/reader already knows…

cs.CL2021★ 1 cited

High-Quality Diversification for Task-Oriented Dialogue Systems

Zhiwen Tang, Hrishikesh Kulkarni, Grace Hui Yang

Many task-oriented dialogue systems use deep reinforcement learning (DRL) to learn policies that respond to the user appropriately and complete the tasks successfully. Training DRL…

cs.IR2019

Computational Psychology to Embed Emotions into News or Advertisements to Increase Reader Affinity

Hrishikesh Kulkarni, P Joshi, P Chande

Readers take decisions about going through the complete news based on many factors. The emotional impact of the news title on reader is one of the most important factors. Cognitive…

cs.HC2019

Cultural association based on machine learning for team formation

Hrishikesh Kulkarni, Bradly Alicea

Culture is core to human civilization, and is essential for human intellectual achievements in social context. Culture also influences how humans work together, perform particular…