Author

Bhawna Piryani

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Book Open access Jul 2026

Temporal Information Retrieval and Extraction: From Foundations to RAG

This tutorial provides a structured and in-depth overview of the complete temporal information access pipeline: Temporal Information Extraction (TIE), Temporal Information Retrieval (TIR), and Temporal Question Answering (TQA).

Bhawna Piryani, Avishek Anand, Omar Alonso et al. · Annual International ACM SIG... · 0 citations

#natural language process... Preprint Feb 2025

HintEval: An Open-Source Python Toolkit for Hint Generation and Hint Evaluation

HintEval, an open-source Python library for unified hint generation and evaluation, facilitates systematic research on hint-based question answering (QA) in NLP and IR through human studies in which participants assess generated hints and use them to answer questions.

Jamshid Mozafari, Bhawna Piryani, Abdelrahman Abdallah et al. · 4 citations

#natural language process... Preprint Aug 2026

Large Language Models Systematically Favor Popular Options: Evidence and Mitigation Across MCQs

A lightweight inference-time correction that estimates and removes a popularity prior from model predictions is proposed, which requires no fine-tuning, is label-free at test time, and adds negligible computational cost.

Abdelrahman Abdallah, Mohammed Ali, Bhawna Piryani et al. · 0 citations