VLSP 2025 Shared Task: Vietnamese Temporal Question Answering (TemporalQA)
Open accessAbstract
In 2025, the eleventh edition of the Vietnamese Language and Speech Processing workshop (VLSP 20251) launched its first shared task on Vietnamese Temporal Question Answering(TemporalQA). This task aims to benchmark systems in their ability to comprehend and performreasoning over temporal information expressed in Vietnamese. TemporalQA is composed of twosubtasks. The first, Date Arithmetic (date-arith), evaluates models on questions involving temporalcomputation, such as adding or subtracting time intervals from a reference date, requiring preciseinterpretation of temporal expressions within a given context. The second, Duration Question Answering (durationQA), assesses systems on estimating the duration of events or activities based oncontextual descriptions. By formalizing these two subtasks and releasing curated datasets, TemporalQA provides the first dedicated benchmark for temporal reasoning in Vietnamese, filling animportant resource gap and supporting future research on temporal understanding and reasoning forVietnamese NLP. The benchmark was hosted on the AIHUB platform2, where system rankings weredetermined using a private test set following a public testing phase. Results show that the leadingsystem for Subtask 1 reached an accuracy of 99%, while the best-performing system in Subtask 2achieved an F1-score of 81.89% and an Exact Match score of 47.52%.Keywords: Temporal Reasoning, Question Answering, TemporalQA, VLSP 2025, Vietnamese 10:13:44 query returned open=false
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Cites
LoRA: Low-Rank Adaptation of Large Language Models
Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., & Chen, W. (2021) · arXiv · doi:10.48550/arxiv.2106.09685 · Cited by 2,523 · see citing works
Grattafiori, A., Dubey, A., Jauhri, A., Pandey, A., Kadian, A., Al-Dahle, A., Letman, A., Mathur, A., Schelten, A., Vaughan, A., et al. (2024) · arXiv · doi:10.48550/arxiv.2407.21783 · Cited by 505 · cited 1× · see citing works
“While the VLSP 2025 TemporalQA shared task establishes a strong foundation for temporal reasoning in Vietnamese, several aspects warrant further improvement.”
Self-citationTimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models
Chu, Z., Chen, J., Chen, Q., Yu, W., Wang, H., Liu, M., & Qin, B. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/2024.acl-long.66 · Cited by 20 · see citing works
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- Authors
- Duc, P. T., Linh, H. M., Toan, L. N., & Huyen, N. T. M.
- Affiliations
- VNU University of Science (VN)
- Vietnam National University, Hanoi (VN)
- ORCID
- Linh, Ha My
- Venue
- VNU Journal of Science: Computer Science and Communication Engineering
- Published
- 2026-08-19
- ISSN
- 2588-1086 (ISSN-L)
- 2615-9260
- OpenAlex
- W7203864624
- Cited by
- 0
- References
- 3
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- VNU Journal of Science Computer Science and Communication Engineering (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
- Keywords
- temporal question answering, Vietnamese language, temporal reasoning, date arithmetic, duration estimation, temporal expressions, benchmark, shared task
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