12 citations · 25 across the 9 of their papers we have counts for
9 papers
MIRA: An LLM-Assisted Benchmark for Multi-Category Integrated Retrieval
Mehmet Deniz Türkmen, Suchana Datta, Dwaipayan Roy +3
Users increasingly expect modern search systems to offer a unified interface that seamlessly retrieves information from diverse data sources and formats. However, current informati…
Combining Query Performance Predictors: A Reproducibility Study
Sourav Saha, Suchana Datta, Dwaipayan Roy +2
A large number of approaches to Query Performance Prediction (QPP) have been proposed over the last two decades. As early as 2009, Hauff et al. [28] explored whether different QPP…
A Deep Learning Approach for Selective Relevance Feedback
Suchana Datta, Debasis Ganguly, Sean MacAvaney +1
Pseudo-relevance feedback (PRF) can enhance average retrieval effectiveness over a sufficiently large number of queries. However, PRF often introduces a drift into the original inf…
Topic-Centric Explanations for News Recommendation
Dairui Liu, Derek Greene, Irene Li +2
News recommender systems (NRS) have been widely applied for online news websites to help users find relevant articles based on their interests. Recent methods have demonstrated con…
On the Feasibility and Robustness of Pointwise Evaluation of Query Performance Prediction
Suchana Datta, Debasis Ganguly, Derek Greene +1
Despite the retrieval effectiveness of queries being mutually independent of one another, the evaluation of query performance prediction (QPP) systems has been carried out by measu…
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ
Eoin Delaney, Arjun Pakrashi, Derek Greene +1
Counterfactual explanations have emerged as a popular solution for the eXplainable AI (XAI) problem of elucidating the predictions of black-box deep-learning systems due to their p…
A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification
Dairui Liu, Derek Greene, Ruihai Dong
Many recent deep learning-based solutions have widely adopted the attention-based mechanism in various tasks of the NLP discipline. However, the inherent characteristics of deep le…
Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction
Suchana Datta, Debasis Ganguly, Derek Greene +1
Motivated by the recent success of end-to-end deep neural models for ranking tasks, we present here a supervised end-to-end neural approach for query performance prediction (QPP).…
An Analysis of Variations in the Effectiveness of Query Performance Prediction
Debasis Ganguly, Suchana Datta, Mandar Mitra +1
A query performance predictor estimates the retrieval effectiveness of an IR system for a given query. An important characteristic of QPP evaluation is that, since the ground truth…