Munazza Zaib

Orcid: 0000-0003-2394-0874

According to our database1, Munazza Zaib authored at least 24 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
From Instruction to Output: The Role of Prompting in Modern NLG.
CoRR, February, 2026

Supporting Multimodal Data Interaction on Refreshable Tactile Displays: An Architecture to Combine Touch and Conversational AI.
Proceedings of the 19th IEEE Pacific Visualization Conference, 2026

2025
Invisible Load: Uncovering the Challenges of Neurodivergent Women in Software Engineering.
CoRR, December, 2025

Accessible Data Access and Analysis by People who are Blind or Have Low Vision.
CoRR, June, 2025

Deep learning meets bibliometrics: A survey of citation function classification.
J. Informetrics, 2025

Fine-Tuning Encoder-Decoder Models with Contrastive Learning for In-Context Distractor Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Can we quantify trust? Towards a trust-based resilient SIoT network.
Computing, February, 2024

Distractor Generation for Multiple-Choice Questions: A Survey of Methods, Datasets, and Evaluation.
CoRR, 2024

Learning Contrastive Representations for Dense Passage Retrieval in Open-Domain Conversational Question Answering.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
HeteGraph: graph learning in recommender systems via graph convolutional networks.
Neural Comput. Appl., June, 2023

Learning to Select the Relevant History Turns in Conversational Question Answering.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Correction to: Towards employing native information in citation function classification.
Scientometrics, 2022

Towards employing native information in citation function classification.
Scientometrics, 2022

Conversational question answering: a survey.
Knowl. Inf. Syst., 2022

2021
A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP.
CoRR, 2021

Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

2020
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems.
CoRR, 2020

BERT-CoQAC: BERT-Based Conversational Question Answering in Context.
Proceedings of the Parallel Architectures, Algorithms and Programming, 2020

Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach.
Proceedings of the MobiQuitous '20: Computing, 2020

HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

The 10 Research Topics in the Internet of Things.
Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020

A Short Survey of Pre-trained Language Models for Conversational AI-A New Age in NLP.
Proceedings of the Australasian Computer Science Week, 2020


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