Call for papers open In person

Large Language Models and Multilingual Intelligence Conference in Valencia, Spain – January 2027

Official name: International Conference on Large Language Models and Multilingual Intelligence (ICLLMMI)

Jan 27, 2027 Valencia, Spain
Abstract deadline December 26, 2026
47days
–hours
–min
Submit on the conference website
DatesJan 27, 2027
Abstract deadlineDec 26, 2026
Organized byJapanese Society for Academic Research and Publication
Event ID1490986

About this conference

This natural language processing conference takes place in Valencia, Spain on Jan 27, 2027. Abstracts and papers are due by December 26, 2026. It is one of 59 upcoming natural language processing conferences in Spain; the next one after it starts on February 10. It is organized by Japanese Society for Academic Research and Publication.

In an era increasingly shaped by AI and language processing, this conference will focus on large language models' capabilities within multilingual settings. Participants will have the chance to hear from experts through workshops, presentations, and panel sessions that address current research trends and methodologies. Researchers are encouraged to submit their original work, including but not limited to empirical studies, theoretical papers, and technology applications in various linguistic contexts. The event prioritizes creating connections between participants while exchanging practical insights into multilingual applications. Organized by an esteemed academic body, further information regarding registration and submission guidelines will be provided ahead of the event. Join peers to engage in meaningful discussions about enhancing multilingual intelligence through advanced language technologies.

Topics

Natural Language Processing Machine Learning

Key dates

  1. Abstract deadline · Dec 26, 202647 days left
  2. Conference · Jan 27, 2027Valencia, Spain

Details come from the organizer. Please check dates, fees and venue on the conference website before you register or travel.

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