Date: 2026-07-03 to 2026-07-04
Location: San Diego, USA
Type: Conference
Website: conll.org
What Is CoNLL 2026?
The Conference on Computational Natural Language Learning (CoNLL) 2026 is a top-tier academic conference that returns to San Diego, USA, from July 3 to July 4, 2026. Co-located with the larger ACL 2026 conference, CoNLL distinguishes itself by prioritizing theoretically, cognitively, and scientifically motivated approaches to computational linguistics and natural language processing (NLP). While many NLP conferences focus heavily on engineering benchmarks and system performance, CoNLL 2026 maintains a rigorous commitment to understanding the underlying principles of language—both human and machine.
Organized under the auspices of the Association for Computational Linguistics (ACL), CoNLL has long served as a venue where researchers bridge the gap between linguistic theory, cognitive science, and practical NLP systems. The 2026 edition continues this tradition by featuring dedicated keynotes that explore language learning in children versus language models, a topic that sits at the very intersection of cognitive science and artificial intelligence. This focus makes CoNLL 2026 a critical event for anyone interested in how AI systems acquire, process, and generate language in ways that mirror—or diverge from—human cognition.
Why It Matters for AI Professionals
For AI professionals working in NLP, CoNLL 2026 offers a rare opportunity to step back from the relentless pace of model releases and examine the foundational questions that drive the field forward. The conference’s emphasis on cognitively and scientifically motivated research provides insights that can inform more robust, interpretable, and data-efficient language models. As the industry grapples with challenges such as hallucination, bias, and generalization, understanding the cognitive underpinnings of language learning becomes not just an academic exercise but a practical necessity.
Attendees will gain exposure to cutting-edge research that often challenges prevailing assumptions in the field. The co-location with ACL 2026 also means that participants can easily move between the two conferences, accessing a broader spectrum of NLP research while diving deep into the theoretical and cognitive dimensions that CoNLL uniquely champions. For professionals developing production systems, the insights from CoNLL 2026 can directly inform architecture decisions, training strategies, and evaluation methodologies.
What to Expect
CoNLL 2026 will feature a focused two-day program designed to maximize intellectual exchange. Key themes and expected highlights include:
- Keynotes on language learning: Dedicated sessions comparing how children acquire language versus how large language models learn from data, offering a cognitive science perspective on current AI capabilities.
- Theoretically grounded NLP research: Papers and presentations that prioritize formal linguistic theory, cognitive plausibility, and scientific rigor over purely empirical results.
- Co-located access to ACL 2026: Being held alongside the flagship ACL conference in San Diego allows attendees to attend sessions from both events, broadening their exposure to the full spectrum of NLP research.
- Poster sessions and networking: Opportunities to engage directly with researchers on detailed technical work and emerging ideas in computational language learning.
Specific keynote speakers, accepted paper titles, and the full schedule will be announced closer to the event date via the official website.
Who Should Attend
CoNLL 2026 is primarily designed for academic researchers, graduate students, and industry scientists working in computational linguistics, cognitive science, and NLP. The conference is particularly valuable for those whose work intersects with language acquisition, linguistic theory, psycholinguistics, and the cognitive modeling of language. AI engineers and product managers who are interested in the scientific foundations of language models will also find the content highly relevant, especially the keynotes and theoretical paper sessions. Given the co-location with ACL 2026, attendees who typically attend ACL will find CoNLL a natural and complementary addition to their conference experience.
How to Register
Registration for CoNLL 2026 is managed through the official conference website. Attendees should note that registration for CoNLL may be combined with or separate from ACL 2026 registration, depending on the organizers’ arrangements. Pricing details, early-bird deadlines, and registration categories (e.g., student, regular, virtual) are to be announced. For the most current information and to register, visit the official conference website at conll.org.
