more information on our Workshop-Website:
https://www.ids-mannheim.de/home/lexiktagungen/llm-fails
Dear list members,
we would like to invite you to submit abstracts to our workshop "LLM
fails – Failed experiments with Generative AI and what we can learn from
them" taking place from April 8-9, 2025 at the Leibniz Institute for the
German Language, Mannheim, Germany.
If the extended short papers are positively reviewed, there is an
opportunity to publish them in a special issue of the Journal for
Language Technology and Computational Linguistics.
Further information (automatic English translation):
Failed experiments typically have no place in scientific discourse; they
are discarded and not published. We believe this leads to a loss of
potential knowledge. After all, a systematic reflection on the reasons
for failure allows for the questioning and/or improvement of methods
used. Furthermore, when previously failed experiments are repeated and
succeed, explicit progress can be determined. Thus, the discussion and
documentation of failures creates added value for the scientific
community from the perspective of methodological reflection. This is
even more relevant in a field like research into and with Generative
Artificial Intelligence (AI), which cannot look back on decades of
tradition and where best practices are still being negotiated.
This workshop focuses on linguistic and NLP experiments with Generative
AI that did not yield the desired results, such as but not limited to:
• Using Generative AI as a Named-Entity Recognizer
• Using Generative AI for automatic transcription of spoken language
data
• Using Generative AI for the creation of dictionary entries
• Using Generative AI for the detection of language change phenomena
The contribution should clarify how this failure can contribute to
knowledge gain regarding the work with Generative AI.
Unpublished proposals can be submitted anonymously as an abstract
(500-750 words) in either German or English to the following email
address by December 11, 2024:
llmfails(at)ids-mannheim.de
The organization team will decide on the acceptance of contributions by
December 16, 2025. If a contribution is accepted, a short paper (4-6
pages without references) in English will be requested by February 15,
2025. The short papers will undergo double-blind peer review and will be
published in a special issue of the Journal for Language Technology and
Computational Linguistics and archived at ACL Anthology.
Best,
Annelen Brunner, Christian Lang, Ngoc Duyen Tanja Tu
(Organising committee)
--
Dr. Ngoc Duyen Tanja Tu
Leibniz-Institut für Deutsche Sprache
Abteilung Grammatik
Tel: +49 621-1581-242
I have a student who is interested in tracing the development of the
English novel from its origins to the present day (or at least to the
start of the twentieth century), and I'm trying to gather information
about relevant corpora covering this text type and period.
We know about the European Literary Text Collection (ELTeC,
https://www.distant-reading.net/eltec/) which will be very useful for
the later end of the timescale. We also know it is possible to assemble
a corpus from Project Gutenberg, archive.org, Oxford Text Archive, etc.
, but would be interested in re-using any corpora that people might
already have made, which aim to be representative of particular periods
within this genre.
The student has some flexibility with her research question, so while
the original idea of 'English novels' was probably 'novels in English
from Great Britain and Ireland', other related areas such as US novels
might be interesting as well.
Any tips and suggestions gratefully received. If we get a number of
interesting direct emails, I'll be happy to summarize the results to the
list.
Best wishes,
Martin
--
Senior Researcher in Corpus Linguistics
Faculty of Linguistics, Philology and Phonetics, University of Oxford
National Co-ordinator, CLARIN-UK
martin.wynne(a)ling-phil.ox.ac.uk
https://orcid.org/0000-0002-4155-0530
(Apologies for cross-posting)
Dear colleagues,
We invite participants to a three-day winter school on large-scale NLP
research, with special emphasis on pretraining data quality and
multilingual evaluation of large language models (LLMs). The school
will provide lectures and space for discussion by the following invited
speakers:
- Jenia Jitsev (Jülich Supercomputing Centre)
- Marianna Nezhurina (LAION)
- Guilherme Penedo (Huggingface)
- Gema Ramírez-Sánchez (Prompsit Language Engineering)
- Anna Rogers (IT University of Copenhagen)
- Ahmet Üstün (Cohere AI)
- other international experts to be confirmed.
The winter school is organized as a collaboration between the Horizon
Europe project High-Performance Language Technologies (HPLT,
https://hplt-project.org/) and the Nordic Language Processing Laboratory
(NLPL). The event will be held ‘in real life’ on February 3–5, 2025, in
Norway. For additional information, please see:
http://wiki.nlpl.eu/Community/training
There is no participant fee for the winter school, and HPLT will provide
free bus transfer between the Oslo airport and the conference hotel
(about two hours north of Oslo, with skiing facilities just outside the
door). Participants will need to cover their own travel to Oslo and
accommodation at the hotel (NOK 3855 for two nights in a single room,
including all meals and conference facilities).
We kindly invite expressions of interest in participation in the winter
school. Please register through the on-line form linked up from the
above overview page. We will process requests for participation on a
first-come, first-served basis, with an eye toward regional balance.
Participation will be confirmed in three batches, one on December 6,
another one on December 13, and finally after the closing date for
registration, which is Friday, December 20, 2024.
Welcome to Skeikampen in February 2025!
Andrey Kutuzov & Stephan Oepen (for the organizing team)
--
Andrey
Language Technology Group (LTG)
University of Oslo
Dear NLP community members,
Greetings from ACL 2025! We would like to invite nominations and
self-nominations to join the ACL 2025 programme committee, as a reviewer or
an area chair, depending on your interest, availability and experience. ACL
2025 review process will be run through ARR in the February cycle.
The tentative timeline for the review period is 1 March to 20 March 2025
and the rebuttal period 26 March to 31 March 2025. Area chairs need to be
available throughout the ARR February cycle.
Please submit your (self-)nominations through this form by 16 December 2024:
https://forms.gle/Yu34Z13YzQ3sM8R4A
Afterwards, you will be invited to join the ARR February reviewer or area
chair (action editor) pool through the ARR OpenReview platform.
Finally, please share this message with your colleagues, postdocs and PhD
students.
Many thanks in advance for your time and contribution!
ACL 2025 PC chairs
--
Horacio Saggion
Full Professor / Chair in Computer Science and Artificial Intelligence
Head of the Natural Language Processing Group - TALN
DTIC Deputy Director for Recruitment
Project Coordinator iDEM Project
Universitat Pompeu Fabra
https://twitter.com/h_saggionhttps://www.linkedin.com/in/horacio-saggion-1749b916
#Apologies for cross-posting#
The International Quantitative Linguistics Association and Masaryk University, Faculty of Arts, invites the submission of abstracts for the 13th International Quantitative Linguistics Conference QUALICO 2025, to be held in Brno, Czechia, June 26-28, 2025.
TOPICS
All contributions relating to quantitative linguistics and text analysis are welcome. We particularly encourage submissions on:
- Descriptions and analysis of all aspects of language and text phenomena, insofar as they use quantitative mathematical methods (probability theory, stochastic processes, differential and difference equations, multidimensional analysis, fuzzy logic and set theory, function theory, etc.).
- Development of mathematical and/or statistical concepts and methods which contribute to theoretical understanding of language phenomena.
- Applications of methods, models, or findings from quantitative linguistics to problems of natural language processing, text classification, stylistics, authorship attribution, text mining, language complexity, and complex network analysis.
- Epistemological issues relevant to quantitative linguistics such as explanation of language and text phenomena, contributions to theory construction, systems theory, philosophy of science.
- Application of theories and methods of quantitative linguistics to the analysis of text generated by AI and Large Language Models (LLM).
Please note that the use of mathematical and statistical concepts and methods or their computational implementation on an ad hoc basis, without placing them in a linguistic context, does not in itself qualify an abstract for acceptance at the conference.
MULTIPLE WORKS BY THE SAME AUTHOR
The maximum number of submissions by the same author or co-author is two papers. Submissions exceeding this threshold will be automatically deleted without notification.
SUBMISSION OF ABSTRACTS
Abstracts should be in English and include keywords, author affiliations, and references.
They should not exceed 250 words. The requested format for submission is plain text .txt. Each paper will be allotted 30 minutes (20 minutes for presentation and 10 minutes for discussion). There will also be a poster session (accepted formats A0, A1 or similar).
Abstracts can be submitted via the Oxford Abstracts system.
Submission link: you can submit here: https://app.oxfordabstracts.com/stages/76890/submissions/new?behalf=false&f…
VENUE
Masaryk University in Brno, Faculty of Arts, Arne Nováka 1/1, 602 00 Brno.
The conference webpage: https://sites.google.com/view/qualico2025/home
IMPORTANT DATES
Submission deadline: February 2, 2025, 11:59:59 pm (CET)
Notification of acceptance: March 2, 2025
Conference fee payment: April 27, 2025
Registration deadline: May 25, 2025
Conference dates: June 26–28, 2025
CONFERENCE FEES
Regular: 300€
IQLA Member: 200€
CONFERENCE VOLUME
Authors of the accepted abstracts will be invited to submit full papers for publication in the volume at one of the leading publishing houses (e.g., John Benjamins, Springer, Routledge, De Gruyter). Please note that the deadline for submitting papers will be approximately three months after the conference.
We are excited to host the “AI & LLM Hackathon for Applications in Evidence-based Ecological Research and Practice” in a hybrid format. The onsite event will take place at ZiF, Bielefeld, Germany from 20th to 22nd January, 2025. The online event happens in parallel with communications conveyed via Zoom.
The event aims to explore and demonstrate innovative applications of artificial intelligence and large language models in ecology. It is part of the ZiF Resident Group „Mapping Evidence to Theory in Ecology: Addressing the Challenges of Generalization and Causality“ (https://www.uni-bielefeld.de/einrichtungen/zif/groups/ongoing/mapping-evide…).
Event highlights:
• An introductory talk on the potential of LLMs in ecology.
• A wide range of projects to get involved in.
• And, of course, lots of pizza! 🍕
For onsite participants, travel scholarships will be offered to up to 15 participants. So do not miss out!
To secure your place at the AI & LLM Hackathon register now here: https://forms.gle/w7DDFUWc6zEQ2VpU9
The same form is used for both online and onsite participants. If you want to apply for a scholarship make sure to register before December 15.
Over time, you will find more details on the event page: https://www.uni-bielefeld.de/einrichtungen/zif/events/#/event/8023
We look forward to seeing you!
Dear NLP community members,
Greetings from ACL 2025!
We would like to invite nominations and self-nominations to join the ACL
2025
programme committee, as a reviewer or an area chair, depending on your
interest,
availability and experience.
The ACL 2025 review process will be run through ARR in the February cycle.
The tentative timeline for the review period is 1 March to 20 March 2025
and
the rebuttal period 26 March to 31 March 2025.
Area chairs need to be available throughout the ARR February cycle.
Please submit your (self-)nominations through this form by *16 December
2024:*
https://forms.gle/Yu34Z13YzQ3sM8R4A
Afterwards, you will be invited to join the ARR February reviewer or
area chair
(action editor) pool through the ARR OpenReview platform.
Finally, please share this message with your colleagues, postdocs and
PhD students.
Many thanks in advance for your time and contribution!
ACL 2025 PC chairs
--
Prof. Dr. Anette Frankhttp://www.cl.uni-heidelberg.de/~frank
Computational Linguistics Department email:frank@cl.uni-heidelberg.de
University of Heidelberg phone: +49-(0)6221/54-3247
Im Neuenheimer Feld 325 secr: +49-(0)6221/54-3245
69120 Heidelberg, Germany fax: +49-(0)6221/54-3242
We are excited to host the “AI & LLM Hackathon for Applications in
Evidence-based Ecological Research and Practice” in a hybrid format. The
onsite event will take place at ZiF, Bielefeld, Germany from 20th to 22nd
January, 2025. The online event happens in parallel with communications
conveyed via Zoom.
The event aims to explore and demonstrate innovative applications of
artificial intelligence and large language models in ecology. It is part
of the ZiF Resident Group „Mapping Evidence to Theory in Ecology:
Addressing the Challenges of Generalization and Causality“ (
https://www.uni-bielefeld.de/einrichtungen/zif/groups/ongoing/mapping-evide…
).
Event highlights:
• An introductory talk on the potential of LLMs in ecology.
• A wide range of projects to get involved in.
• And, of course, lots of pizza! 🍕
For onsite participants, travel scholarships will be offered to up to 15
participants. So do not miss out!
To secure your place at the AI & LLM Hackathon register now here:
https://forms.gle/w7DDFUWc6zEQ2VpU9
The same form is used for both online and onsite participants. If you want
to apply for a scholarship make sure to register before December 15.
Over time, you will find more details on the event page:
https://www.uni-bielefeld.de/einrichtungen/zif/events/#/event/8023
We look forward to seeing you!
PhD position in LLMs & complex reasoning for supporting scientific
discovery in cancer (University of Manchester)
We have an exciting new PhD position at the interface between LLMs, complex
reasoning and cancer discovery.
Melanoma is an aggressive type of skin cancer associated with an incidence
of ≈17500 patients and 2300 deaths per year in the United Kingdom.
Immunotherapy (checkpoint inhibitors [CPI]; anti-CTLA-4, anti-PD-1,
anti-LAG3) has revolutionised patient outcomes in melanoma and other
cancers however, challenges remain. Critically, the presence of liver
metastasis is associated with poor CPI response and prognosis, with
patients with liver metastasis progressing on average 15 months earlier
than those without.
The aims of this exciting project will be to understand complex
interactions between melanoma and cells within the liver microenvironment
to understand mechanisms associated with immune suppression and resistance
to CPI. To do this, the student will systematically integrate curated
databases (e.g. KEGG, Reactome, STRING, and HMDB) alongside systematic
extraction from the literature to derive models of signalling pathways,
metabolic reactions, and protein-protein interactions relevant to this
immunosuppressive environment. The student will develop techniques in open
information extraction, integration of large datasets from multiple
sources, large language models, causal reasoning, natural language
inference and explainable question answering. Furthermore, they will gain
an in-depth understanding of cancer biology and the immune system.
We are looking for a hard-working, focused, ambitious person to join our
excellent, friendly, inclusive and collaborative teams. The student will
enjoy integrating with both the Freitas laboratory which focuses on
development of AI methods to support abstract, explainable and flexible
inference and the Lee laboratory which uses a broad range of in vitro and
in vivo techniques to study melanoma, with the aim of developing novel
therapies for patients. We would be particularly happy to receive
applications from individuals with a strong academic track record and
Masters-level and/or other research experience in artificial intelligence,
large language models and bioinformatics.
The project will provide comprehensive training in cancer biology, large
language models and use of artificial intelligence to inform mechanisms
behind complex tumour-microenvironment interactions and to build complex
models of these.
Essential requirements:
-
BSc and MSc in computer science, bioinformatics or related areas.
-
Experience in the construction of NLP and ML models evidenced by
academic or industrial projects.
-
Python programming.
-
Confident in the development of complex computational pipelines.
-
Experience in biomedical problems is a plus.
Interested applicants please send an email to andre.freitas(a)manchester.ac.uk
and rebecca.lee-3(a)manchester.ac.uk with your CV by December 31st.
Additional information.
https://www.findaphd.com/phds/project/bicentenary-modelling-melanoma-induce…