37.2062, Confs: 1st International Online Forum on Language, Mathematics, and Artificial Intelligence (Online)
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LINGUIST List: Vol-37-2062. Mon Jun 15 2026. ISSN: 1069 - 4875.
Subject: 37.2062, Confs: 1st International Online Forum on Language, Mathematics, and Artificial Intelligence (Online)
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================================================================
Date: 11-Jun-2026
From: Yolanda Xavier [yolandaxavier at fcsh.unl.pt]
Subject: 1st International Online Forum on Language, Mathematics, and Artificial Intelligence
1st International Online Forum on Language, Mathematics, and
Artificial Intelligence
Short Title: LAMA-AI
Date: 21-Nov-2026 - 22-Nov-2026
Location: Online
Contact: Dr. Stela Manova
Contact Email: contact at manova-ai.com
Meeting URL: https://gaussaiglobal.com/lama-ai-forum/
Linguistic Field(s): Cognitive Science; Computational Linguistics
Submission Deadline: 15-Aug-2026
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:
- LLMs’ internal organization versus classical assumptions in
linguistics and mathematics
- 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?
- Methodological advantages and challenges in using LLMs for
scientific research
- Output-based evaluation: How reliable are benchmarks?
- Language processing in humans and machines
- Tokenized data as a source for scientific investigation
- 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
- Big LLMs versus baby LLMs: Do we need large amounts of data?
- Improvement scenarios for LLM efficiency
- AI and the definition/meaning of basic units within specific
scientific fields
- AI-driven solutions to field-specific scientific tasks
- 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.
The submissions are done via EasyChair until August 15, 2026, anywhere
in the world.
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