Workshops/Tutorials
A shared task focused on automatically evaluating generated analogies for explaining Computer Science concepts. The shared task will be co-located with INLG 2026 (https://2026.inlgmeeting.org/), and participants will have the opportunity to write a paper describing their system and approach.
Organizers: Bhavya (IBM), Yuri Noviello (Delft University of Technology)
This workshop creates a dedicated forum — the Alternative Architectures Project (AAP) — to expand and diversify core NLG architecture research. Our goal is to encourage the community to focus on non-traditional machine learning structures that learn, process, and generate language differently.
Organizers: Ruurd Kuiper (UMC Utrecht), Robert Bagheri (Utrecht University)
YNLG aims to foster a welcoming community of early-career researchers in NLG by providing a platform for PhD students and Master's students to present work-in-progress research, receive feedback from senior researchers and peers, and engage in discussions about current trends and future directions in Natural Language Generation.
Organizers: Nils Feldhus (University of Groningen), Rudali Huidrom (IIIT Delhi), Kristyna Onderkova (Charles University), Miriam Anschütz (Technical University of Munich), Barkavi Sundararajan (University of Aberdeen), Patricia Schmidtova (Charles University), Yongxin Zhou (Université Grenoble Alpes)
A half-day workshop at INLG 2026 dedicated to natural language generation (NLG) and large language model (LLM) research shaped by real deployment settings.
Organizers: Yizhi Li (University of Manchester), Yi Zhou (Cardiff University), Jingcheng Niu (TU Darmstadt), Haau-sing Li (TU Darmstadt and Instituto de Telecomunicações), Joanne Boisson (Cardiff University), Yi Qi (University of Leeds)
This workshop focuses on the integration of dialogue systems, natural language processing (NLP), large language models (LLMs), and game AI, with a particular emphasis on applications using the Werewolf game as a testbed.
Organizers: Yoshinobu Kano (Shizuoka University, Japan), Claus Aranha (Tsukuba University, Japan), Takashi Otsuki (Yamagata University, Japan), Fujio Toriumi (The University of Tokyo, Japan), Hirotaka Osawa (Keio University, Japan), Daisuke Katagami (Tokyo Polytechnic University, Japan), Michimasa Inaba (The University of Electro-Communications, Japan), Kei Harada (The University of Electro-Communications, Japan), Takeshi Ito (The University of Electro-Communications, Japan)
This tutorial provides a practical, hands-on guide to evaluating open-ended NLG by introducing a five-layer design stack that helps researchers move beyond simple leaderboards to responsibly handle subjectivity and annotator disagreement.
Organizers: Christina Niklaus (University of St.Gallen), Thomas Huber (University of St.Gallen)