[Swiss-Lib] [Call for Papers] First International Online Forum on Language, Mathematics, and Artificial Intelligence (LAMA-AI)

[Yolanda Xavier]

Dear colleagues,

Hope this email finds you well.

Below, please find attached a call for papers that might be of your
interest.

We would be truly grateful if you could kindly share this information
within your network.

*CALL FOR PAPERS*

First International Online Forum on Language, Mathematics, and Artificial
Intelligence (LAMA-AI)

*November 21-22, 2026*

*Abstract submission deadline: August 15, 2026*

*Web:* https://gaussaiglobal.com/lama-ai-forum

Following the international online workshop series *Linguistics Meets
ChatGPT: From Prompt to Theory, *organized by MANOVA AI / Gauss: AI Global,
we are delighted to announce the *First International Online Forum on
Language, Mathematics, and Artificial Intelligence (LAMA-AI)*.

Aim of the Forum

The aim of this conference is fourfold:


   1.

   To shed light on LLMs’ internal organization — tokenization, embeddings,
   vectors, transformer architecture, and high-dimensional vector spaces — and
   their implications for our respective fields of inquiry.
   2.

   To bring together linguists, mathematicians, cognitive scientists, and
   other researchers interested in AI in a stimulating atmosphere for the
   exchange of ideas on applying LLMs to scientific work.
   3.

   To identify limitations of LLMs and propose qualified, field-specific
   solutions that can be implemented computationally to advance current AI
   models.
   4.

   To foster a genuine, unfragmented dialogue by running LAMA-AI as a
   single, sequential session with no parallel tracks.

Topics

We welcome presentations on the following and related topics:


   1. LLMs’ internal organization versus classical assumptions in
   linguistics and mathematics
   2. Data collection and resource creation: Do scientists need to curate
   data, including creation of corpora, if LLMs are fed massive datasets? Can
   an LLM serve as a reliable repository for scientific data?
   3. Methodological advantages and challenges in using LLMs for scientific
   research
   4. Output-based evaluation: How reliable are benchmarks?
   5. Language processing in humans and machines
   6. Tokenized data as a source for scientific investigation
   7. Alternative unit groupings in linguistics, mathematics, and LLM
   tokenization: bracketing paradoxes (e.g. un+happier vs. unhappy+er), and
   place-value regrouping (e.g. 1800 as “1 thousand + 8 hundreds” vs. “18
   hundreds”); and LLM tokenization examples discussed in the CFP
   8. Big LLMs versus baby LLMs: Do we need large amounts of data?
   9. Improvement scenarios for LLM efficiency
   10. AI and the definition/meaning of basic units within specific
   scientific fields
   11. AI-driven solutions to field-specific scientific tasks
   12. AGI and the cross-modal processing of language, image, and audio
   (given that text corresponds to written language, images to meaning, and
   audio to spoken language, to some extent)

The *Call for Papers *is available on our website
<https://gaussaiglobal.com/lama-ai-forum>.

In case of any questions, please feel free to contact us at
contact at manova-ai.com.

[image: LAMA-AI.jpg]

Thank you.

With kindest regards,

On behalf of the Organizing Committee,

*Yolanda Xavier*

FCT PhD Grant holder | Researcher

Faculdade de Ciências Sociais e Humanas – NOVA FCSH

Av. de Berna, 26
<https://maps.google.com/?q=Av.+de+Berna,+26&entry=gmail&source=g> C,
1069-061 Lisboa | Portugal

E-mail: yolandaxavier at fcsh.unl.pt

Web: www.fcsh.unl.pt
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