Zahra Abbasiantaeb

Orcid: 0000-0002-4046-3419

According to our database1, Zahra Abbasiantaeb authored at least 26 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Bibliography

2026
Total Recall QA: A Verifiable Evaluation Suite for Deep Research Agents.
CoRR, March, 2026

Generating Multi-Aspect Queries for Conversational Search.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025
User Simulation in Practice: Lessons Learned from Three Shared Tasks.
SIGIR Forum, December, 2025

Tracing science-technology-linkages.
Dataset, July, 2025

Tracing science-technology-linkages: A machine learning pipeline for extracting and matching patent in-text references to scientific publications.
Inf. Process. Manag., 2025

Query Understanding in LLM-based Conversational Information Seeking.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Conversational Gold: Evaluating Personalized Conversational Search System Using Gold Nuggets.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Conversational Search: Towards Personalization and Evaluation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement.
Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, 2025

Improving the Reusability of Conversational Search Test Collections.
Proceedings of the Advances in Information Retrieval, 2025

Do Images Clarify? A Study on the Effect of Images on Clarifying Questions in Conversational Search.
Proceedings of the 2025 ACM SIGIR Conference on Human Information Interaction and Retrieval, 2025

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

IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search.
Proceedings of the Thirty-Third Text REtrieval Conference, 2024

TREC iKAT 2024: The Interactive Knowledge Assistance Track Overview.
Proceedings of the Thirty-Third Text REtrieval Conference, 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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