:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Basu, Meheli, Dutta, Aniruddha, Shah, Purvi
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2502.03421
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Information Retrieval and Extraction Tool for Covid-19 Related Papers
by: Pivetta, Marcos V. L.
Published: (2024)

An In-depth Investigation of User Response Simulation for Conversational Search
by: Wang, Zhenduo, et al.
Published: (2023)

Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG
by: Palaniappan, Ramaswamy, et al.
Published: (2025)

YouTube Videos for Public Health Literacy? A Machine Learning Pipeline to Curate Covid-19 Videos
by: Guo, Yawen, et al.
Published: (2023)

TELII: Temporal Event Level Inverted Indexing for Cohort Discovery on a Large Covid-19 EHR Dataset
by: Huang, Yan
Published: (2024)

RANGER -- Repository-Level Agent for Graph-Enhanced Retrieval
by: Shah, Pratik, et al.
Published: (2025)

ColBERT-Att: Late-Interaction Meets Attention for Enhanced Retrieval
by: Patel, Raj Nath, et al.
Published: (2026)

Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations
by: Kaur, Kirandeep, et al.
Published: (2024)

Examining DOM Coordinate Effectiveness For Page Segmentation
by: Carpenter, Jason, et al.
Published: (2026)

Examination of the Validity of the Conclusions Arrived at in the Aslib Cranfield Research Project.
by: te Nuyl, Th. W.
Published: (1968)

Nano-ESG: Extracting Corporate Sustainability Information from News Articles
by: Billert, Fabian, et al.
Published: (2024)

Efficient and Responsible Adaptation of Large Language Models for Robust and Equitable Top-k Recommendations
by: Kaur, Kirandeep, et al.
Published: (2025)

Assessing the impact of Open Research Information Infrastructures using NLP driven full-text Scientometrics: A case study of the LXCat open-access platform
by: Pandya, Kalp, et al.
Published: (2026)

ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures
by: Schimanski, Tobias, et al.
Published: (2024)

SustainableQA: A Comprehensive Question Answering Dataset for Corporate Sustainability and EU Taxonomy Reporting
by: Ali, Mohammed, et al.
Published: (2025)

Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation
by: Li, Jianan, et al.
Published: (2025)

Development of an Automated Web Application for Efficient Web Scraping: Design and Implementation
by: Dutta, Alok, et al.
Published: (2025)

A Quantitative Approach to Evaluating Open-Source EHR Systems for Indian Healthcare
by: Dutta, Biswanath, et al.
Published: (2025)

TREC Initiative with Cheshire II.
by: Larson, Ray R.
Published: (2001)

Investigating disaster response through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season
by: Ma, Zihui, et al.
Published: (2023)

User Evaluation of a Corporate Library Online Search Service.
by: Warden, Carolyn L.
Published: (1981)

TRUE: A Reproducible Framework for LLM-Driven Relevance Judgment in Information Retrieval
by: Dewan, Mouly, et al.
Published: (2025)

LLM-Driven Usefulness Labeling for IR Evaluation
by: Dewan, Mouly, et al.
Published: (2025)

A Survey of Graph Neural Networks for Social Recommender Systems
by: Sharma, Kartik, et al.
Published: (2022)

RUST-BENCH: Benchmarking LLM Reasoning on Unstructured Text within Structured Tables
by: Abhyankar, Nikhil, et al.
Published: (2025)

Investigating the Effects of Sparse Attention on Cross-Encoders
by: Schlatt, Ferdinand, et al.
Published: (2023)

LLM-Driven Usefulness Judgment for Web Search Evaluation
by: Dewan, Mouly, et al.
Published: (2025)

Efficiency Optimizations for Superblock-based Sparse Retrieval
by: Carlson, Parker, et al.
Published: (2026)

Heterogeneous Sequel-Aware Graph Neural Networks for Sequential Learning
by: Tiwari, Anushka, et al.
Published: (2025)

Masked Diffusion for Generative Recommendation
by: Shah, Kulin, et al.
Published: (2025)

Investigating Multi-layer Representations for Dense Passage Retrieval
by: Xie, Zhongbin, et al.
Published: (2025)

Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness
by: Rahmani, Hossein A., et al.
Published: (2024)

Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations
by: Zhao, Zihuai, et al.
Published: (2025)

Have We Really Understood Collaborative Information? An Empirical Investigation
by: Zhang, Xiaokun, et al.
Published: (2025)

Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets
by: Bruch, Sebastian, et al.
Published: (2025)

Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations
by: McGuire, Niall, et al.
Published: (2024)

Graph Bottlenecked Social Recommendation
by: Yang, Yonghui, et al.
Published: (2024)

Enhancing the conformal predictability of context-aware recommendation systems by using Deep Autoencoders
by: Zammali, Saloua, et al.
Published: (2024)

Implementing agile healthcare frame works in the context of low income countries: Proposed Framework and Review
by: Dutta, P K
Published: (2025)

Single-Branch Network Architectures to Close the Modality Gap in Multimodal Recommendation
by: Ganhör, Christian, et al.
Published: (2025)