Jamshid Mozafari

Orcid: 0000-0003-4850-9239

According to our database1, Jamshid Mozafari authored at least 30 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Question Difficulty Estimation for Large Language Models via Answer Plausibility Scoring.
CoRR, May, 2026

Pretraining Exposure Explains Popularity Judgments in Large Language Models.
CoRR, May, 2026

Context Convergence Improves Answering Inferential Questions.
CoRR, May, 2026

PARSE: An Open-Domain Reasoning Question Answering Benchmark for Persian.
CoRR, February, 2026

Inferential Question Answering.
Proceedings of the ACM Web Conference 2026, 2026

2025
RankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback.
CoRR, August, 2025

It's High Time: A Survey of Temporal Information Retrieval and Question Answering.
CoRR, May, 2025

From Retrieval to Generation: Comparing Different Approaches.
CoRR, February, 2025

MultiOCR-QA: Dataset for Evaluating Robustness of LLMs in Question Answering on Multilingual OCR Texts.
CoRR, February, 2025

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation.
CoRR, February, 2025

HintEval: A Comprehensive Framework for Hint Generation and Evaluation for Questions.
CoRR, February, 2025

Navigating the Landscape of Hint Generation Research: From the Past to the Future.
Trans. Assoc. Comput. Linguistics, 2025

WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Wrong Answers Can Also Be Useful: PlausibleQA - A Large-Scale QA Dataset with Answer Plausibility Scores.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DeAR: Dual-Stage Document Reranking with Reasoning Agents via LLM Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DynRank: Improve Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Evaluating Robustness of LLMs in Question Answering on Multilingual Noisy OCR Data.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

RerankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Using Large Language Models in Automatic Hint Ranking and Generation Tasks.
CoRR, 2024

DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification.
CoRR, 2024

ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Detecting Temporal Ambiguity in Questions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Exploring Hint Generation Approaches for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
FarsNewsQA: a deep learning-based question answering system for the Persian news articles.
Inf. Retr. J., June, 2023

2022
PersianQuAD: The Native Question Answering Dataset for the Persian Language.
IEEE Access, 2022

2019
BAS: An Answer Selection Method Using BERT Language Model.
CoRR, 2019

Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering.
CoRR, 2019


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