activity
20182026
most citedRLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search

18 citations · 97 across the 27 of their papers we have counts for

collaborators

28 papers

cs.IR2026

Enhancing Healthcare Search Intent Recognition with Query Representation Learning and Session Context

Chen Lin, Harshita Jagdish Sahijwani, Madhav Sigdel +4

Classifying the intent behind healthcare search queries is crucial for improving the delivery of online healthcare information. The intricate nature of medical search queries, coup…

cs.IR2024★ 13 cited

GenQREnsemble: Zero-Shot LLM Ensemble Prompting for Generative Query Reformulation

Kaustubh Dhole, Eugene Agichtein

Query Reformulation(QR) is a set of techniques used to transform a user's original search query to a text that better aligns with the user's intent and improves their search experi…

cs.IR2024

DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query Generation

Ramraj Chandradevan, Kaustubh D. Dhole, Eugene Agichtein

State-of-the-art neural rankers pre-trained on large task-specific training data such as MS-MARCO, have been shown to exhibit strong performance on various ranking tasks without do…

cs.IR2024★ 1 cited

QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration

Kaustubh D. Dhole, Shivam Bajaj, Ramraj Chandradevan +1

Formulating effective search queries remains a challenging task, particularly when users lack expertise in a specific domain or are not proficient in the language of the content. P…

cs.CL2023

Evaluation Metrics of Language Generation Models for Synthetic Traffic Generation Tasks

Simone Filice, Jason Ingyu Choi, Giuseppe Castellucci +2

Many Natural Language Generation (NLG) tasks aim to generate a single output text given an input prompt. Other settings require the generation of multiple texts, e.g., for Syntheti…

cs.IR2023★ 1 cited

Contextual Response Interpretation for Automated Structured Interviews: A Case Study in Market Research

Harshita Sahijwani, Kaustubh Dhole, Ankur Purwar +2

Structured interviews are used in many settings, importantly in market research on topics such as brand perception, customer habits, or preferences, which are critical to product d…