Home EVENTS Neology and Large Language Models Workshop (NeoLLM2026): Everything You Need to Know

Neology and Large Language Models Workshop (NeoLLM2026): Everything You Need to Know

KEY FACTS
Date: 2026-05-16
Location: Palma de Mallorca, Spain
Type: Workshop
Website: linguistlist.org

What Is Neology and Large Language Models Workshop (NeoLLM2026)?

The Neology and Large Language Models Workshop, or NeoLLM2026, is an upcoming specialized event dedicated to exploring the dynamic interplay between Large Language Models (LLMs) and the fascinating phenomenon of neology. Scheduled for May 16, 2026, in the scenic city of Palma de Mallorca, Spain, this workshop aims to bring together researchers and practitioners at the forefront of AI and linguistics. Its core mission is to dissect how advanced LLMs interact with new words, new meanings for existing words, and the broader landscape of semantic evolution.

NeoLLM2026 delves into critical questions surrounding how LLMs not only observe but also potentially influence the ongoing changes in language. The workshop’s agenda is designed to investigate how these powerful AI systems capture emerging semantic shifts, propagate them through their generated text, or even invent novel meanings and linguistic constructs. This focus is particularly pertinent in an era where LLMs are increasingly integrated into daily communication and information processing, making their understanding of language evolution a topic of paramount importance.

The workshop’s unique emphasis on the implications for lexicography and language modeling underscores its practical and theoretical relevance. For lexicographers, understanding how LLMs process and reflect neology can revolutionize dictionary creation and maintenance. For language model developers, insights from NeoLLM2026 will be crucial for building more robust, context-aware, and linguistically accurate AI systems that can adapt to the ever-changing nature of human language.

Why It Matters for AI Professionals

For AI professionals, particularly those working with or developing Large Language Models, NeoLLM2026 offers an invaluable opportunity to gain a deeper understanding of one of the most complex aspects of natural language: its constant evolution. The ability of LLMs to handle neology—the creation and adoption of new words or new meanings—is fundamental to their long-term efficacy and relevance. As language continues to shift rapidly, especially in specialized domains and online communities, AI systems must be equipped to keep pace.

Attending NeoLLM2026 will provide AI researchers, engineers, and product managers with critical insights into the mechanisms by which LLMs process semantic novelty. Understanding whether an LLM is merely reflecting existing neologisms or actively contributing to their propagation or invention has significant implications for model bias, factual accuracy, and the ethical deployment of AI. Professionals will learn about the latest research and methodologies for evaluating an LLM’s performance in this area, helping them to develop more sophisticated and reliable language models. The workshop’s focus on the practical impact on lexicography and language modeling directly translates into actionable knowledge for improving AI applications that rely on precise and up-to-date linguistic understanding.

What to Expect

The Neology and Large Language Models Workshop (NeoLLM2026) is structured to foster in-depth discussions and presentations on its core themes. Attendees can expect a focused exploration of the intersection between LLMs and neology. Key topics will include:

  • Mechanisms by which LLMs capture new words and semantic shifts.
  • The role of LLMs in the propagation of novel linguistic phenomena.
  • Instances and implications of LLMs inventing semantic shifts.
  • The impact of LLM capabilities on the field of lexicography, including dictionary updates and lexical resource development.
  • Advancements and challenges in language modeling related to dynamic linguistic change.

While specific speakers and a detailed schedule for NeoLLM2026 are yet to be announced, the workshop format typically includes research paper presentations, invited talks, and interactive sessions designed to encourage collaboration and knowledge exchange among participants. Further details regarding the program will be made available closer to the event date in May 2026.

Who Should Attend

NeoLLM2026 is specifically tailored for a diverse group of professionals and academics deeply involved in the fields of Artificial Intelligence and linguistics. This includes:

  • AI Researchers and Scientists: Particularly those specializing in Natural Language Processing (NLP), Large Language Models (LLMs), and computational linguistics.
  • Language Model Developers: Engineers and developers responsible for building, training, and deploying LLMs in various applications.
  • Computational Lexicographers: Professionals involved in creating and maintaining digital dictionaries and lexical resources.
  • Linguists and Semanticians: Academics and researchers interested in the evolution of language and the influence of AI on linguistic change.
  • Data Scientists: Those working with large text datasets and interested in how AI processes and reflects linguistic novelty.
  • Ethicists and Policy Makers: Individuals concerned with the societal impact of AI, particularly regarding language evolution and potential biases in LLMs.

Anyone with a keen interest in the cutting-edge intersection of AI and the dynamic nature of human language will find the Neology and Large Language Models Workshop 2026 highly relevant.

How to Register

To register for the Neology and Large Language Models Workshop (NeoLLM2026), please visit the official event website at https://linguistlist.org/issues/37/364/. The website will provide the most up-to-date information regarding registration procedures, deadlines, and any necessary submission guidelines for participation. Pricing details and early bird options for NeoLLM2026 will be announced on the official website as they become available. Prospective attendees are encouraged to monitor the site for timely updates.