3 citations · 9 across the 11 of their papers we have counts for
7 papers · 1 filter
From Instruction to Output: The Role of Prompting in Modern NLG
Munazza Zaib, Elaf Alhazmi
Prompt engineering has emerged as an integral technique for extending the strengths and abilities of Large Language Models (LLMs) to gain significant performance gains in various N…
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation
Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang +2
The distractor generation task focuses on generating incorrect but plausible options for objective questions such as fill-in-the-blank and multiple-choice questions. This task is w…
Learning to Select the Relevant History Turns in Conversational Question Answering
Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng +3
The increasing demand for the web-based digital assistants has given a rapid rise in the interest of the Information Retrieval (IR) community towards the field of conversational qu…
Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering
Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang +1
Having an intelligent dialogue agent that can engage in conversational question answering (ConvQA) is now no longer limited to Sci-Fi movies only and has, in fact, turned into a re…
Conversational Question Answering: A Survey
Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng +2
Question answering (QA) systems provide a way of querying the information available in various formats including, but not limited to, unstructured and structured data in natural la…
BERT-CoQAC: BERT-based Conversational Question Answering in Context
Munazza Zaib, Dai Hoang Tran, Subhash Sagar +3
As one promising way to inquire about any particular information through a dialog with the bot, question answering dialog systems have gained increasing research interests recently…