35.983, Calls: Computational Linguistics / Italian Journal of Computational Linguistics (Jrnl)

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LINGUIST List: Vol-35-983. Tue Mar 19 2024. ISSN: 1069 - 4875.

Subject: 35.983, Calls: Computational Linguistics / Italian Journal of Computational Linguistics (Jrnl)

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Date: 14-Mar-2024
From: Dominique Brunato [dominique.brunato at ilc.cnr.it]
Subject: Computational Linguistics / Italian Journal of Computational Linguistics (Jrnl)


Call for Papers:

Special Issue: Natural Language for Artificial Intelligence in the Era
of LLMs
IJCoL - Italian Journal of Computational Linguistics, OpenEdition
Journal, ISSN 2499-4553, https://www.ai-lc.it/en/journal/

Guest Editors:
    • Elisa Bassignana, IT University of Copenhagen (Denmark),
(elba at itu.dk)
    • Dominique Brunato, Institute for Computational Linguistics “A.
Zampolli” (CNR-ILC) (Italy), (dominique.brunato at ilc.cnr.it)
    • Marco Polignano, University of Bari Aldo Moro (Italy),
(marco.polignano at uniba.it)
    • Alan Ramponi, Fondazione Bruno Kessler (Italy),
(alramponi at fbk.eu)

Special issue information:
The advancement of Large Language Models (LLMs) has revolutionized the
field of Natural Language Processing (NLP) and Artificial Intelligence
(AI) in recent years. Transformer-based models such as GPT-3 and BERT
have demonstrated remarkable capabilities in modeling and generating
human-like text. These models have significantly impacted various
applications, including machine translation, sentiment analysis,
question answering, and more. The era of LLMs has opened up new
opportunities and challenges in harnessing natural language for AI
systems. The motivation behind this special issue is to provide a
platform for researchers and practitioners to explore and discuss the
latest advancements, methodologies, and applications of Natural
Language for Artificial Intelligence in the Era of LLMs. The aim is to
foster collaboration and knowledge sharing among the NLP and AI
communities, enabling them to leverage LLMs effectively and ethically
for solving real-world problems, as well as for tackling open research
questions that contribute to a deeper understanding of the
similarities and differences between human and machine learning.
This special issue invites original research papers, reviews, and case
studies that focus on utilizing LLMs in various natural language
processing tasks and applications within the context of Artificial
Intelligence. This is a natural extension of the topics covered in the
NL4AI 2023 workshop at AIxIA 2023, where the primary focus of
discussion among the many papers received was related to the use of
LLMs to tackle many typical tasks in natural language understanding
and generation. We invite researchers from both academia and industry
to submit their cutting-edge research findings, unearthing novel
insights and pushing the boundaries of knowledge. We hope to receive
submissions not only from people attending NL4AI but also from
researchers outside this ring to enrich the discourse with a broader
spectrum of perspectives.

Relevant topics for the proposed special issue include, but are not
limited to:
    • Robustness and generalization of LLMs
    • Diversity and inclusion of LLMs
    • The role of linguistics in the era of LLMs
    • Benchmarking and evaluation of LLMs
    • Explainability and interpretability of LLMs through
Computational Linguistics and related disciplines
    • Domain-specific applications of LLMs (e.g., healthcare,
education, cultural heritage)
    • Knowledge representation and reasoning with LLMs
    • Machine translation and cross-lingual applications with LLMs
    • Applications to the Italian language and under-studied languages
    • Dialogue systems and conversational agents using LLMs
    • Ethical and social implications of LLMs
    • Exploration of multimodality and data augmentation approaches in
the era of LLMs

Contributions will be processed as they are submitted no later than
1st July, 2024. The latest acceptance deadline for all papers is 1st
October, 2024. More details on the submission procedures will be
provided at: https://www.ai-lc.it/en/journal/

For questions and further information, please contact the Guest
Editors.



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