The 2025 Singapore Symposium on Natural Language Processing
April 23, 2025, SUTD
April 23, 2025, SUTD
We are excited to announce the Singapore Symposium on Natural Language Processing 2025 (SSNLP'25), which will take place on Wednesday, April 23, 2025, as a full-day event. SSNLP is a premier platform for academic and industrial researchers in Singapore to present ongoing and upcoming work, fostering community building, idea exchange, and collaboration. SSNLP'25 is an excellent opportunity for faculties and students to gain international exposure and engage with leading experts in the field.
Our in-person registration is now open. This year's event will be held at the SUTD, 8 Somapah Rd, Singapore 487372, [Google Map]. Our registration is free of charge, but we have limited seating. Please complete the registration form to secure your spot. The registration deadline is April 4, 23:59, 2025 (SGT).
Thank you for your interest in our Call for SSNLP-25. The submission deadline has now passed (March 7, 23:59, 2025), and we are no longer accepting new submissions. We appreciate all the contributions and look forward to an exciting lineup of poster presentations.
Mar. 05, 2025 — Open for Registration
Feb. 14, 2025 — Call for Paper, welcome research publications from related conferences working on Natural Language Processing
Jan. 24, 2025 — The date is confirmed: April 23, 2025
This year, all paper presentations will take the form of posters, allowing for better audience engagement and encouraging in-depth discussions. With distinguished researchers attending ICLR 2025 during the same week, we have increased the number of keynote talks to provide greater exposure to emerging research trends and foster international collaboration. The SSNLP 2025 organising committee express our sincere gratitude to IMDA for their generous sponsorship, which has made this series of keynote talks possible.
Time | Event |
---|---|
09:00 - 09:20 |
Registration
Location: Foyer, Level 1, Auditorium |
09:20 - 09:30 | Opening Remarks |
09:30 - 10:30 |
Keynote & Technical Sharing Session 1
Speaker: TBD |
10:30 - 10:45 | Break |
10:45 - 12:00 |
Poster Spotlight
(5 min each) |
12:00 - 12:45 |
Poster Session 1
(Buffet Lunch) |
12:45 - 13:00 | Break |
13:00 - 14:00 |
Keynote & Technical Sharing Session 2
Speaker: TBD |
14:15 - 15:15 |
Keynote & Technical Sharing Session 3
Speaker: TBD |
15:15 - 16:00 | Break |
16:00 - 17:00 |
Keynote & Technical Sharing Session 4
Speaker: TBD |
17:00 - 17:10 | Closing Remarks |
Note: The keynote talks are co-hosted with IMDA, as part of the Technical Sharing Session (TSS) Series.
This year, we are introducing a new format that includes a 5-minute poster spotlight and a 45-minute poster session. Each presenter will give a brief research presentation (poster spotlight) to provide a high-level overview of their work, followed by an opportunity for in-depth discussions with event participants during the poster session. Each poster board can accommodate (1mL x 2mH) sized posters.
The detailed presentation list will be announced soon. Stay tuned!
The following speakers from both academia and industry are invited to give keynotes at SSNLP 2025. Please click the profile image to view the detailed description of the talk.
Abstract: In this talk I will tell you about the role of scaling in the past five years of artificial intelligence.
Bio: Dr. Faeze Brahman is a Research Scientist at the Allen Institute for AI (Ai2). Prior to this, Dr. Faeze Brahman was a postdoctoral researcher at AI2 and the University of Washington, working with Yejin Choi. She has a broad set of research interests: from understanding the capabilities and limitations of language models in real-world, dynamic environments, designing efficient AI algorithms beyond scaling, and developing human-centered AI systems that are reliable and safe. Additionally, she works on creating robust evaluation frameworks to assess emergent behaviors in LLMs.
Abstract: In this talk I will tell you about the role of scaling in the past five years of artificial intelligence.
Bio: Dr. Junyang Lin a researcher and engineer in the M6 team, Data Analytics and Intelligence Lab, DAMO Academy, Alibaba Group. He is also the core maintainer of the Qwen Team, building the Qwen series of large language models and large multimodal models. His research insterets focus on working on deep learning for NLP and multimodal representation learning, large-scale pretraining and its downstream application.
![]() Mohit BansalParker Distinguished ProfessorUNC Chapel Hill |
![]() Nanyun (Violet) PengAssociate ProfessorUCLA |
Abstract: In this talk I will tell you about the role of scaling in the past five years of artificial intelligence.
Bio: Dr. Mohit Bansal is the John R. & Louise S. Parker Distinguished Professor and the Director of the MURGe-Lab (UNC-NLP Group) in the Computer Science department at the University of North Carolina (UNC) Chapel Hill. Prior to this, he was a research assistant professor (3-year endowed position) at TTI-Chicago. He received his Ph.D. in 2013 from the University of California at Berkeley (where he was advised by Dan Klein) and his B.Tech. from the Indian Institute of Technology at Kanpur in 2008. His research expertise is in natural language processing and multimodal machine learning, with a particular focus on multimodal generative models, grounded and embodied semantics, reasoning and planning agents, faithful language generation, and interpretable, efficient, and generalizable deep learning.
Abstract: In this talk I will tell you about the role of scaling in the past five years of artificial intelligence.
Bio: Dr. Peng is an Associate Professor at the Computer Science Department of University of California, Los Angeles, and a Visiting Academics at the Amazon AGI org. She leads the PLUSLAB (Peng's Language Understanding and Synthesis Lab) at UCLA, with the vision to develop robust Natural Language Processing (NLP) techniques to lower communication barriers and make AI agents true companions for humans. She got her PhD in Computer Science at Johns Hopkins University, Center for Language and Speech Processing, after that, she spent three awesome years at University of Southern California as a Research Assistant Professor at the Computer Science Department, and a Research Lead at the Information Sciences Institute.
General Chair: |
Boyang Albert Li, Nanyang Technological University |
Program Chairs: |
Wenya Wang, Nanyang Technological University Lizi Liao, Singapore Management University |
Local Chairs: |
Ming Shan Hee, Singapore University of Technology and Design Jinggui Liang, Singapore Management University |
Industry Relations Chairs: |
Yixin Cao, Fudan University Wenxuan Zhang , Singapore University of Technology and Design |
International Outreach Chair: |
Nancy F. Chen, A*STAR Institute for Infocomm Research |
Publicity Chair: |
Shengqiong Wu, National University of Singapore |
Registration Chair: |
Zhihan Zhang , Singapore Management University |
Advisory Committee: |
Min-Yen Kan, National University of Singapore Soujanya Poria, Singapore University of Technology and Design Roy Lee, Singapore University of Technology and Design |
SSNLP 2025 will be held at the SUTD, 8 Somapah Rd, Singapore 487372.
Please feel free to reach out if you have any inquiries: Lizi Liao, Albert Li and Wenya Wang.