Dear Sender,

I am currently out of the office and will not be checking emails regularly. I 
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On 8 Aug 2024, at 17:05, Hosein Mohebbi via Corpora <[email protected]> 
wrote:

Last Call for Papers: The seventh edition of the BlackboxNLP workshop, 
co-located with EMNLP 2024, in Miami on November 15, 2024. .

Important dates
---------------------
August 15, 2024 - Paper submission deadline (through OpenReview).
September 20, 2024 - Notification of acceptance.
October 4, 2024 - Camera-ready deadline.
November 15, 2024 - Workshop date.

All deadlines are 11:59PM UTC-12:00 (“Anywhere on Earth”). We will accept ARR 
submissions; corresponding deadlines will be announced at a later moment in 
time.

Workshop description:
-----------------
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.

Topics of interest include, but are not limited to:
* Applying analysis techniques from neuroscience to analyze high-dimensional 
vector representations in artificial neural networks;
* Analyzing the network’s response to strategically chosen input in order to 
infer the linguistic generalizations that the network has acquired;
* Examining network performance on simplified or formal languages;
* Mechanistic interpretability, reverse engineering approaches to understanding 
particular properties of neural models;
* Proposing modifications to neural architectures that increase their 
interpretability;
* Testing whether interpretable information can be decoded from intermediate 
representations;
* Explaining specific model predictions made by neural networks;
* Generating and evaluating the quality of adversarial examples in NLP;
* Developing open-source tools for analyzing neural networks in NLP;
* Evaluating the analysis results: how do we know that the analysis is valid?

Submissions
-----------------
We call for two types of papers:
1) Archival papers. These are papers reporting on completed, original and 
unpublished research, with a maximum length of 8 pages + references (papers 
shorter than this maximum are also welcome). Broader Impacts/Ethics and 
Limitations sections are optional and can be included on a 9th page. An 
optional appendix may appear after the references in the same pdf file. 
Accepted papers are expected to be presented at the workshop and will be 
published in the workshop proceedings of the ACL Anthology, meaning they cannot 
be published elsewhere. They should report on obtained results rather than 
intended work. These papers will undergo double-blind peer-review, and should 
thus be anonymized.
2) Extended abstracts. These may report on work in progress or may be 
cross-submissions that have already appeared (or are scheduled to appear) in 
another venue in 2024-2025. The extended abstracts are of a maximum of 2 pages 
+ references. These submissions are non-archival and will not be included in 
the proceedings. The selection will not be based on a double-blind review and 
thus submissions of this type need not be anonymized.

Submissions should follow the official EMNLP 2024 style guidelines.
Accepted submissions for both tracks will be presented at the workshop: most as 
posters, some as oral presentations (determined by the program committee).


The submission site is:
https://openreview.net/group?id=EMNLP/2024/Workshop/BlackBoxNLP



Organizers
-----------------
Yonatan Belinkov, Technion
Najoung Kim, Boston University
Jaap Jumelet, University of Amsterdam
Hosein Mohebbi, Tilburg University
Aaron Mueller, Northeastern University & Technion
Hanjie Chen, Rice University


Contact
---------------------
Please contact the organizers via email ([email protected]) for any 
questions.

Read more on the workshop's website:
https://blackboxnlp.github.io






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