2026Q3 Reports: SIGSUMM
SIGSUMM
SIGSUMM is the Association for Computational Linguistics Special Interest Group for Summarization.
Founded in 2023, SIGSUMM is one of ACL's Special Interest Groups. Its primary mission has been to organize the NEWSUMM (New Frontiers in Summarization) workshop series and foster research in automatic summarization. SIGSUMM focuses on corpus-based, statistical, and deep learning methods for text summarization, while encouraging research on large language models, multimodal summarization, evaluation, factuality, and related topics that advance the summarization community.
Membership
SIGSUMM has over 120 members from diverse backgrounds, including students, academics, and professionals in Computational Linguistics, Natural Language Processing, Machine Learning, and Artificial Intelligence. Membership has continued to grow steadily since the SIG's founding, reflecting the increasing interest in summarization research driven by advances in large language models, multimodal systems, and long-context language models.
Officers
The officers of SIGSUMM include:
- Yue Dong, Assistant Professor at the University of California, Riverside, Liaison Representative
- Wen Xiao, Researcher at Microsoft Azure Cognitive Service
- Yumo Xu, Scientist at AWS AI Labs Seattle
- Lu Wang, Associate Professor at the University of Michigan
- Fei Liu, Associate Professor at Emory University
- Jackie Chit Kit Cheung, Associate Professor at McGill University
- Giuseppe Carenini, Professor at the University of British Columbia
- Mirella Lapata, Professor at the University of Edinburgh
- Ido Dagan, Professor at Bar-Ilan University
Elections
The current SIGSUMM executive committee continues to oversee the activities of the SIG. Information regarding future officer elections, nominations, and voting procedures will be announced through the SIGSUMM mailing list and the official website.
Activities
SIGSUMM's primary activity is organizing the biennial NEWSUMM (New Frontiers in Summarization) workshop series, which serves as a premier venue for research on automatic summarization and related technologies. Since 2017, the workshop has brought together researchers from academia and industry to discuss advances in summarization methods, evaluation, factuality, multimodal summarization, retrieval-augmented generation, and applications of large language models.
The NEWSUMM workshop series includes:
- NEWSUMM 2017 (14 accepted papers)
- NEWSUMM 2019 (16 accepted papers)
- NEWSUMM 2021 (17 accepted papers)
- NEWSUMM 2023 (14 accepted papers)
- NEWSUMM 2025 (15 accepted papers)
Following the successful 5th NEWSUMM workshop at EMNLP 2025, SIGSUMM continues to support the summarization research community through its website and mailing list while preparing for the next edition of NEWSUMM in 2027. The workshop series continues to expand its scope to address:
- Grounded and retrieval-augmented summarization
- Multimodal summarization and reasoning using multimodal large language models
- Hallucination detection, factuality, and faithfulness evaluation
- Query-focused and task-adaptive summarization
- Long-context language models for summarization
- Efficient summarization for edge and mobile applications
External Links
Official Website
Mailing List
[.acl@gmail.com(mailto:.acl@gmail.com) SIGSUMM Mailing List]