Zahra Abbasiantaeb

Orcid: 0000-0002-4046-3419

According to our database1, Zahra Abbasiantaeb authored at least 13 papers between 2021 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants.
CoRR, 2024

Generate then Retrieve: Conversational Response Retrieval Using LLMs as Answer and Query Generators.
CoRR, 2024

Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Can We Use Large Language Models to Fill Relevance Judgment Holes?
Proceedings of the Joint Proceedings of the 1st Workshop on Evaluation Methodologies, 2024

2023
PQuAD: A Persian question answering dataset.
Comput. Speech Lang., May, 2023

ChatGPT in the Classroom: A Preliminary Exploration on the Feasibility of Adapting ChatGPT to Support Children's Information Discovery.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

TREC iKAT 2023: The Interactive Knowledge Assistance Track Overview.
Proceedings of the Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), 2023

LLM-based Retrieval and Generation Pipelines for TREC Interactive Knowledge Assistance Track (iKAT) 2023.
Proceedings of the Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), 2023

2022
Entity-aware answer sentence selection for question answering with transformer-based language models.
J. Intell. Inf. Syst., 2022

PQuAD: A Persian Question Answering Dataset.
CoRR, 2022

Question Answering over Text and Knowledge Base
Springer, ISBN: 978-3-031-16551-1, 2022

2021
Text-based question answering from information retrieval and deep neural network perspectives: A survey.
WIREs Data Mining Knowl. Discov., 2021


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