Cognitive Modeling

Chinese BabyLM is the first shared task dedicated to sample-efficient pretraining for Chinese, co-located with NLPCC 2026. The challenge is inspired by the BabyLM Challenge (first launched in 2023, now in its fourth year), which incentivizes research on pretraining language models under cognitively inspired data budgets.

CMCL 2026: 1st Call for Papers
Deadline: *Feb. 25*; Workshop: May 16 (co-located with LREC)

The Quantum AI and NLP 2025 Conference at Indiana University in Bloomington (6th-8th of August) is open for paper submissions. This is an “in-cooperation with the ACM” conference supported by the ACM Special Interest Group AI (SIGAI). Special student sessions will be announced soon.

Website: https://qnlp.ai/
Dates: August 6th-8th, 2025
Location: Indiana University, Bloomington, Indiana, USA

The goals of BabyLM are to bring together multiple disciplines to answer an enduring question: how can a computational system learn language from limited inputs? Cognitive scientists investigate this question by trying to understand how humans learn their native language during childhood. Computer scientists tackle this question by attempting to build efficient machine-learning systems to accomplish this task.

[1st Call for Papers] The Second Workshop on Analogical Abstraction in Cognition, Perception, and Language (Analogy-Angle II)

Explore, model, and understand analogical reasoning in cognition, language, and computational models from an interdisciplinary perspective.

*** CMCL – First Call for Papers***
The 13th edition of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2024)
https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/CMCL

Co-located with the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)

Announcing the BabyLM Challenge, the shared task at CoNLL/CMCL 2023!

The goal of this shared task is to encourage researchers with an interest in pretraining and/or cognitive modeling to focus their efforts on optimizing pretraining given data limitations inspired by human development. Additionally, we hope to democratize research on pretraining—which is typically thought to be practical only for large industry groups—by formulating an exciting open problem and establishing a community around it.

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CogACLL 2018 Call For Short Papers and Demonstrations
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ACL 2018 Workshop on
Cognitive Aspects of Computational Language Learning and Processing (CogACLL)

July 19, 2018
Melbourne, Australia

https://sites.google.com/view/cognitivews2018

Cognitive Modeling and Computational Linguistics 2017 (CMCL-2017)
A workshop to be held April 3, 2017 in conjunction with the 2017 European Chapter of the Association for Computational Linguistics (EACL 2017) in Valencia, Spain
http://cmcl2017.osu.edu

UPDATE: EXTENDED deadline for submissions: 23 January 2017

Cognitive Modeling and Computational Linguistics 2014 (CMCL-2014)
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A workshop to be held June 26, 2014 at the Annual Meeting of the
Association for Computational Linguistics (ACL) in Baltimore,
Maryland, USA

http://cmcl.mit.edu/

Workshop Description
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This workshop provides a venue for work in computational
psycholinguistics: the computational and mathematical modeling of
linguistic generalization, development, and processing. We invite