activity
20202026
most citedConversational Question Answering: A Survey

3 citations · 10 across the 14 of their papers we have counts for

collaborators

15 papers

cs.HC2026

Conversational Tactile Data Interfaces: Co-Designing Accessible Data Experiences with Blind Users Using Refreshable Tactile Displays and Conversational AI

Samuel Reinders, Munazza Zaib, Bongshin Lee +7

Combining refreshable tactile displays (RTDs) with conversational AI offers a promising approach to accessible data visualization for people who are blind or have low vision (BLV).…

cs.HC2026

Supporting Multimodal Data Interaction on Refreshable Tactile Displays: An Architecture to Combine Touch and Conversational AI

Samuel Reinders, Munazza Zaib, Matthew Butler +4

Combining conversational AI with refreshable tactile displays (RTDs) offers significant potential for creating accessible data visualization for people who are blind or have low vi…

cs.CL2026

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…

cs.SE2025

Invisible Load: Uncovering the Challenges of Neurodivergent Women in Software Engineering

Munazza Zaib, Wei Wang, Dulaji Hidellaarachchi +1

Neurodivergent women in Software Engineering (SE) encounter distinctive challenges at the intersection of gender bias and neurological differences. To the best of our knowledge, no…

cs.HC2025

Accessible Data Access and Analysis by People who are Blind or Have Low Vision

Samuel Reinders, Munazza Zaib, Matthew Butler +4

Our work aims to develop new assistive technologies that enable blind or low vision (BLV) people to explore and analyze data readily. At present, barriers exist for BLV people to e…

cs.CL2024★ 1 cited

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…

cs.CR2023

Can we Quantify Trust? Towards a Trust-based Resilient SIoT Network

Subhash Sagar, Adnan Mahmood, Quan Z. Sheng +2

The emerging yet promising paradigm of the Social Internet of Things (SIoT) integrates the notion of the Internet of Things with human social networks. In SIoT, objects, i.e., thin…

cs.CL2023

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…

cs.CL2023

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…

cs.CL2021★ 3 cited

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…

cs.CL2021★ 1 cited

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…

cs.CL2021★ 1 cited

A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP

Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang

Building a dialogue system that can communicate naturally with humans is a challenging yet interesting problem of agent-based computing. The rapid growth in this area is usually hi…

cs.CR2021★ 1 cited

Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach

Subhash Sagar, Adnan Mahmood, Quan Z. Sheng +2

The emerging paradigm of the Social Internet of Things (SIoT) has transformed the traditional notion of the Internet of Things (IoT) into a social network of billions of interconne…

cs.DC2020

The 10 Research Topics in the Internet of Things

Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood +7

Since the term first coined in 1999 by Kevin Ashton, the Internet of Things (IoT) has gained significant momentum as a technology to connect physical objects to the Internet and to…

cs.LG2020★ 3 cited

Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems

Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang +5

In recent years, the emerging topics of recommender systems that take advantage of natural language processing techniques have attracted much attention, and one of their applicatio…