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BlackboxNLP 2026

The Ninth Workshop on Analyzing and Interpreting Neural Networks for NLP

Co-located with EMNLP 2026 in Budapest, Hungary on October 28th, 2026

Many recent performance improvements in NLP have come at the cost of understanding of the systems. How do we assess what representations and computations models learn? How do we formalize desirable properties of interpretable models, and measure the extent to which existing models achieve them? How can we build models that better encode these properties? What can new or existing tools tell us about these systems’ inductive biases?


The goal of this workshop is to bring together researchers focused on interpreting and explaining NLP models by taking inspiration from fields such as machine learning, psychology, linguistics, and neuroscience. We hope the workshop will serve as an interdisciplinary meetup that allows for cross-collaboration.

📣 News

March 15th: BlackboxNLP is accepted to EMNLP 2026! The first call for papers is now available here. Join our Discord server to stay updated and discuss your ideas with other participants.

🗓️ Important dates


All deadlines are 11:59PM UTC-12:00 (“Anywhere on Earth”).

Program

Program under construction, stay tuned!

FAQ

Can't find your answer? Send an email and we will get back to you.

  • Yes, dual submissions are allowed if the other venue also allows dual submissions. If your submission is accepted to the archival track of BlackboxNLP, you will have to withdraw your submission to the other venue.


Invited Speakers

We will announce invited speakers shortly, stay tuned!



Organizers

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Yonatan Belinkov

Senior Lecturer, Technion

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Aaron Mueller

Assistant Professor, Boston University

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Hanjie Chen

Assistant Professor, Rice University

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Hosein Mohebbi

PhD Candidate, Tilburg University

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Gabriele Sarti

Postdoc, Northeastern University

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Dana Arad

PhD Candidate, Technion

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Martin Tutek

Postdoc, University of Zagreb

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Nils Feldhus

Postdoc, TU Berlin and BIFOLD

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