Invited speakers

Iryna Gurevych is a Professor of Computer Science at TU Darmstadt and heads the Ubiquitous Knowledge Processing Lab. Her research spans natural language processing, semantic representations, information retrieval, and trustworthy AI. She studies how language technologies can work reliably with knowledge and support scientific research, with broader interests in generative AI, evaluation, and AI safety. She is an ACL Fellow and a past President of the Association for Computational Linguistics. Her honors include an ERC Advanced Grant and the Royal Society’s Milner Award and Lecture in 2025.

Graham Neubig is an Associate Professor at Carnegie Mellon University’s Language Technologies Institute, where he leads NeuLab, and Chief Scientist at OpenHands. His research spans natural language processing and machine learning, including language models, multilingual communication, question answering, and code generation. He studies how AI agents can use tools, learn from experience, and carry out complex tasks, with a particular interest in software development. Alongside his research, he develops open source software and freely available courses and lectures that make advances in NLP accessible to researchers, students, and practitioners.

Scott Wen-tau Yih is a Research Scientist at Meta Fundamental AI Research. His research connects natural language processing, machine learning, and information retrieval, with a focus on neural search, question answering, and language models grounded in external knowledge. His recent interests include factuality in text and multimodal systems, retrieval augmented generation, and reasoning. Previously, he held research positions at the Allen Institute for AI and Microsoft Research. He is an ACL Fellow, has received paper awards at CoNLL and ACL, and served as a program co-chair of EMNLP 2021.

Jimmy Lin is a Professor and holds the David R. Cheriton Chair in the School of Computer Science at the University of Waterloo. He works at the intersection of information retrieval, natural language processing, and data management, developing systems that help people make sense of large collections of information. His research spans neural search, question answering, language models, and agentic retrieval, with a sustained emphasis on reproducibility and open source software. He is an ACM Fellow, an ACL Fellow, and a member of the SIGIR Academy.