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<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:105%;font-size:11pt;font-family:"Calibri",sans-serif"><span>[Apologies if you
got multiple copies of this invitation]<span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:105%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:20pt;line-height:105%">The
2nd International <a name="m_-4677810814097174901_m_-3797253439207254063_m_4071049812943130936_m_1469740416655415345_m_3500975644726868423_m_-7754222996540170922_m_-3029550911436301006__Hlk193387241">Generative AI </a>and Computational
Language Modelling Conference (<a name="m_-4677810814097174901_m_-3797253439207254063_m_4071049812943130936_m_1469740416655415345_m_3500975644726868423_m_-7754222996540170922_m_-3029550911436301006__Hlk193460816">GACLM</a> 2025)</span></p><p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:105%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:20pt;line-height:105%"><br></span><span style="font-size:13.5pt;line-height:105%;color:red"> <span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:105%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:13.5pt;line-height:105%;color:red"><span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:105%;font-size:11pt;font-family:"Calibri",sans-serif"><a href="https://gaclm.org/2025/" style="color:blue;text-decoration:underline" target="_blank"><span style="font-size:20pt;line-height:105%">https://gaclm.org/2025/</span></a></p><p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:105%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:20pt;line-height:105%"><span><br></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:normal;background:white;font-size:11pt;font-family:"Calibri",sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif;color:black">18-21 August, 2025 | Valencia, Spain </span><span style="font-family:"Times New Roman",serif;color:black"><br></span></font></p><p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:normal;background:white;font-size:11pt;font-family:"Calibri",sans-serif">
<span style="font-size:13.5pt;line-height:105%;color:red"><br></span></p><p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:normal;background:white;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:13.5pt;line-height:105%;color:red">Hybrid
Event</span> <br></p><p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:normal;background:white;font-size:11pt;font-family:"Calibri",sans-serif"></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:normal;background:white;font-family:"Calibri",sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif;color:red">Technically Co-Sponsored by IEEE Spain Section</span><span style="font-family:"Times New Roman",serif"><span></span></span></font></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><b><u><span style="font-size:14pt;font-family:"Times New Roman",serif">GACLM 2025 CFP:</span></u></b><span><span></span></span></p>
<p class="MsoNormal" style="text-align:justify;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">With
the emergence of Generative AI (GenAI), the world is experiencing a new era of
generative models producing various types of data, including textual and visual
data. This is accompanied by the unprecedented advancement of Computational
Language Modeling (CLM) techniques that are supporting a wide range of
downstream applications. Both Generative AI and Computational Language Modeling
are leading the paradigm shift we are witnessing in Artificial Intelligence.<span></span></span></p>
<p class="MsoNormal" style="text-align:justify;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">The International Generative AI and Computational Language
Modeling Conference (GACLM 2025) addresses the architectures, applications,
challenges, approaches, and future directions of this new era of Artificial
Intelligence systems based on GenAI and CLM. We invite the submission of
original papers on all topics related to GACLM, with special interest in, but
not limited to, the following:<span></span></span></p>
<ul type="disc" style="margin-bottom:0in"><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Human-Centered Generative AI<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Natural Language Processing (NLP)<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Large Language Models (LLMs)<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Text generation, summarization,
and question answering<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Sentiment analysis,
misinformation detection, and emotion detection<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Machine translation and
multilingual models<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Language comprehension, grammar
and style checking, and complex reasoning <span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Document processing and
information retrieval<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Computer-Assisted Language
Learning<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Adversarial machine learning
and applications<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Generative adversarial networks
(GANs)<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">GenAI and diffusion models<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Federated and distributed
learning for GenAI<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Fine-tuning and
retrieval-augmented generation (RAG)<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Synthetic data generation and
data augmentation<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Explainable AI (XAI) and
trustworthy AI systems<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">GenAI in healthcare, education,
robotics, and smart cities<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">GenAI for cybersecurity and
Internet of Things (IoT) systems<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">GenAI for sustainability and
human good<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Computer vision, creative
applications, and video generation<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">GenAI ethics and governance<span></span></span></li></ul>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span><span> </span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><b><u><span style="font-size:12pt;font-family:"Times New Roman",serif">Submissions
Guidelines and Proceedings</span></u></b><span><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 12pt;text-align:justify;line-height:105%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;line-height:105%">Manuscripts should
be prepared in 10-point font using the IEEE 8.5" x 11" two-column
format. All papers should be in PDF format, and submitted electronically at
Paper Submission Link. A full paper can be up to 8 pages (including all
figures, tables and references). Submitted papers must present original
unpublished research that is not currently under review for any other
conference or journal. Papers not following these guidelines may be rejected
without review. Also submissions received after the due date, exceeding length
limit, or not appropriately structured may also not be considered. Authors may
contact the Program Chair for further information or clarification. All
submissions are peer-reviewed by at least three reviewers. Accepted papers will
appear in the GACLM Proceeding, and be published by the IEEE Computer Society Conference
Publishing Services and be submitted to IEEE Xplore for inclusion. <br>
<br>
Submitted papers must include original work, and must not be under
consideration for another conference or journal. Submission of regular papers
must follow the IEEE paper format. And include up to 7 keywords. Authors of
accepted papers are expected to present their work at the conference. Submitted
papers that are deemed of good quality but that could not be accepted as
regular papers will be accepted as short papers. Length of short papers can be
up to 6 pages. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 12pt;text-align:justify;line-height:105%;font-size:11pt;font-family:"Calibri",sans-serif"><u><span style="font-size:13.5pt;line-height:105%;font-family:"Calibri Light",sans-serif;color:black">Important Dates:</span></u><span><span></span></span></p>
<ul style="margin-top:0in;margin-bottom:0in" type="disc"><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><b><span style="font-size:14pt;font-family:"Calibri Light",sans-serif;color:red">Paper submission deadline: May 20th 2025</span></b><span><span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;font-family:"Calibri Light",sans-serif">Notification of acceptance: July 15th, 2025 </span><span><span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;font-family:"Calibri Light",sans-serif">Camera-ready Submission: July 31th, 2025</span><span><span></span></span></li></ul>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:105%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-family:"Calibri Light",sans-serif"> </span><span><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:105%;font-size:11pt;font-family:"Calibri",sans-serif"><b><u><span style="font-size:12pt;line-height:105%;font-family:"Calibri Light",sans-serif">Contact:</span></u></b><span><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:105%;font-size:11pt;font-family:"Calibri",sans-serif"><span><span> </span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:105%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:13.5pt;line-height:105%">Please send any inquiry on GACLM to: <a href="mailto:info@gaclm.org" target="_blank">info@gaclm.org</a></span></p>
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