7 citations · 31 across the 21 of their papers we have counts for
7 papers · 1 filter
WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation
Jamshid Mozafari, Florian Gerhold, Adam Jatowt
The use of Large Language Models (LLMs) has increased significantly with users frequently asking questions to chatbots. In the time when information is readily accessible, it is cr…
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification
Abdelrahman Abdallah, Jamshid Mozafari, Bhawna Piryani +2
This paper presents DynRank, a novel framework for enhancing passage retrieval in open-domain question-answering systems through dynamic zero-shot question classification. Traditio…
Detecting Temporal Ambiguity in Questions
Bhawna Piryani, Abdelrahman Abdallah, Jamshid Mozafari +1
Detecting and answering ambiguous questions has been a challenging task in open-domain question answering. Ambiguous questions have different answers depending on their interpretat…
Exploring Hint Generation Approaches in Open-Domain Question Answering
Jamshid Mozafari, Abdelrahman Abdallah, Bhawna Piryani +1
Automatic Question Answering (QA) systems rely on contextual information to provide accurate answers. Commonly, contexts are prepared through either retrieval-based or generation-b…
Navigating the Landscape of Hint Generation Research: From the Past to the Future
Anubhav Jangra, Jamshid Mozafari, Adam Jatowt +1
Digital education has gained popularity in the last decade, especially after the COVID-19 pandemic. With the improving capabilities of large language models to reason and communica…
TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
Jamshid Mozafari, Anubhav Jangra, Adam Jatowt
Nowadays, individuals tend to engage in dialogues with Large Language Models, seeking answers to their questions. In times when such answers are readily accessible to anyone, the s…
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages
Bhawna Piryani, Jamshid Mozafari, Adam Jatowt
Question answering (QA) and Machine Reading Comprehension (MRC) tasks have significantly advanced in recent years due to the rapid development of deep learning techniques and, more…