Day 1: July 3, 2026

Time Session
09:00–09:10 Welcome Remarks
09:10–09:40 Findings of the IWSLT 2026 Evaluation Campaign (3):
  • Offline, Low-Resource, Compression
09:40–10:30 Invited Talk: Mohit Bansal
10:30–11:00 Coffee Break
11:00–12:30 Poster Session: All Shared Task Posters
14:00–15:00 Findings of the IWSLT 2026 Evaluation Campaign (5):
  • Simultaneous, Subtitling, Voice Cloning, Instruction Following, Metrics
15:00–15:30 Oral Session I (2):
  • A Practical Evaluation Method for Long-Form Simultaneous Speech-to-Speech Translation. Yulin Xue, Siqi Ouyang and Lei Li
  • Redefining Machine Simultaneous Interpretation: From Incremental Translation to Human-Like Strategies. Qianen Zhang, Zeyu Yang, and Satoshi Nakamura
15:30–16:00 Coffee Break
16:00–17:00 Oral Session II (4):
  • Towards Zero-Shot SLU: An Empirical Study of Competing Architectural Paradigms. Beomseok Lee, Marco Gaido, Ioan Calapodescu, Laurent Besacier and Matteo Negri
  • [ACL Main] Measuring User’s Mental Models of Speech Translation in Human-AI Collaboration. HyoJung Han, Nishant Balepur, Jordan Boyd-Graber, Marine Carpuat
  • [ACL Main] Hierarchical Policy Optimization for Simultaneous Translation of Unbounded Speech. Siqi Ouyang, Shuoyang Ding, Oleksii Hrinchuk, Vitaly Lavrukhin, Brian Yan, Boris Ginsburg, Lei Li
  • [ACL Main] LCMA-SRT: Language-Conditional Mixture-of-Experts Adapters for Joint Multilingual Speech Recognition and Translation. Nanjie Li, Xiaoyong Guo, Hao Huang, Xu Haihua, Wei Shi
  • [ACL Demo] WIGVO: Real-Time Bidirectional Speech Translation over Legacy PSTN Calls via Dual-Session Echo Gating. Hyeong-seob Kim, Sang-Woo Son, Hyun-woo Cho, Hyeonsang Kim, Jinmo Kim

Day 2: July 4, 2026

Time Session
09:30–10:30 Invited Talk: Marine Carpuat
10:30–11:00 Coffee Break
11:00–12:30 Panel Discussion: Marcello Federico, Jon May, Satoshi Nakamura
12:30–14:00 Lunch Break
14:00–15:30 Planning Session for 2027
15:30–16:00 Coffee Break

Invited Talks

Mohit Bansal: Day 1, 9:40am

Speaker photo: Mohit Bansal

Title: Unifying Video and Audio for Multimodal Understanding and Generation

Bio: Dr. Mohit Bansal is the John R. & Louise S. Parker Distinguished Professor, Director of the MURGe-Lab (UNC-AI Group), and Core AI Lead of the ENGAGE NSF-AI Institute in the Computer Science department at UNC Chapel Hill. He received his PhD from UC Berkeley and his BTech from IIT Kanpur. His research expertise is in multimodal generative models, reasoning and planning agents, faithful language generation, and interpretable, efficient, and generalizable deep learning. He is an ACL and AAAI Fellow and recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), IIT Kanpur Young Alumnus Award, DARPA Director’s Fellowship, NSF CAREER Award, Google Focused Research Award, Microsoft Investigator Fellowship, Army Young Investigator Award (YIP), DARPA Young Faculty Award (YFA), and outstanding paper awards at ACL, CVPR, EACL, COLING, CoNLL, and TMLR. He has been a keynote speaker for the IEEE/CVF WACV 2027, IEEE MLSP 2026, ECAI 2025, ACM-CODS 2025, AACL-IJCNLP 2023, CoNLL 2023, and INLG 2022 conferences. His service includes EMNLP Program Co-Chair, Associate Editor-in-Chief for TPAMI, CoNLL Program Co-Chair, ACL Executive Committee, ACM Doctoral Dissertation Award Committee, ACL Doctoral Dissertation Award Co-Organizer, ACL Mentorship Program Co-Founder, and Associate Editor for TACL, CL, IEEE/ACM TASLP, and CSL journals.

Webpage: https://www.cs.unc.edu/~mbansal/

Marine Carpuat: Day 2, 9:30am

Speaker photo: Marine Carpuat

Title: From Translation Quality to Communication Success: Insights from Recent Research and Open Questions for Speech Translation

Bio: Marine Carpuat is a Professor in the Department of Computer Science at the University of Maryland, where she is also a member of UMIACS and director of the CLIP Lab. Her research focuses on developing AI techniques that help people communicate across languages, and studying whether those systems actually succeed. Her work spans foundational NLP methods, evaluation methodology, and human-centered studies of how people perceive and rely on AI-generated translations. She has published extensively at venues including ACL, EMNLP, NAACL, and CHI, and has received paper awards from *SEM, TALN, and EMNLP. She served as Program Co-Chair of NAACL 2022. Before joining UMD, she was a Research Officer at the National Research Council Canada. She received her PhD from the Hong Kong University of Science and Technology and a diplôme d’ingénieur from the French grande école Supélec.

Webpage: https://www.cs.umd.edu/~marine

Video Presentations of System Description

  • [1] MLLP-VRAIN UPV System for the IWSLT 2026 Simultaneous Speech Translation Task
    Authors: Jorge Iranzo-Sánchez, Gerard Mas-Mollà, Adrià Gimenez, Jorge Civera Saiz, Albert Sanchis, Alfons Juan
    Links: [Video] [Slides]
  • [2] Test-Time Adaptation of an Offline Multimodal Foundation Model for Simultaneous Speech Translation Authors: Yi Xing, Manli Yu, Pengfei Liu, Helen Meng Links: [Slides]
  • [3] The CUHKSZ System for the IWSLT 2026 Low-Resource Speech-to-Text Task Authors: Ruiyan Sun, Qingming Li, Satoshi Nakamura Links: [Video] [Slides]

Important Notes

Oral and poster presentations will be on-site, oral presentations will be also streamed. Oral presentations will be 10-12 minutes, with 3-5 minutes for questions.

Oral sessions: Scientific papers will be presented in four oral sessions. Each paper is allotted a slot of 10-12 minutes, with 3-5 additional minutes for questions. Speakers attending virtually will be able to present through the Underline platform.

Poster sessions: System papers will be presented in one poster session. Papers covering multiple tasks can be presented as distinct posters. Physical poster size is A0 portrait. Printing service is available on site: poster printing info from ACL 2026.

Video recordings: Speakers are invited to optionally share a link for a recorded video presentation regardless if they will be able to attend the conference in person or not. Please add the link to your max 10 min video recording for your paper by July 3rd, 2026 in this google sheet. Videos will be linked on the IWSLT program on this webpage by the end of the IWSLT conference.