Monthly online ILFC Seminar: interactions between formal and computational
linguistics
https://gdr-lift.loria.fr/monthy-online-ilfc-seminar/

The LIFT 2 research group is happy to announce the forthcoming sessions of
the ILFC seminar on the interactions between formal and computational
linguistics.

The seminar is held on Zoom. To attend the seminar and get updates, please
subscribe to our mailing list (we now only rarely communicate through other
mailing lists): https://sympa.inria.fr/sympa/subscribe/seminaire_ilfc


   - 2025/10/15 16:30-17:30 UTC+2: *Noga Zaslavsky* (New York University)
   Title: *Cultural evolution of efficient semantic systems in humans and
   AI*
   Abstract: *Human languages efficiently compress meanings into words, but
   how did our semantic systems evolve to be that way? Are AI systems capable
   of evolving efficient semantic systems and representing meaning as we do?
   In this talk, I address these open questions from cognitive, cultural, and
   computational perspectives. First, I show that individual human learners
   favor efficiently compressed semantic representations. This inductive
   learning bias, when amplified via cultural transmission, drives the
   evolution of near-optimally efficient semantic systems. Second, I consider
   large language models (LLMs) and show that while they vary widely in their
   semantic alignment with humans, they nevertheless exhibit a similar
   tendency toward efficient compression: when simulating cultural evolution
   with LLMs, they iteratively restructure initially random semantic systems
   towards greater efficiency. Finally, I show that introducing an explicit
   pressure for efficient compression, grounded in the information bottleneck
   principle, enables multi-agent reinforcement learning systems to evolve
   efficient, human-like semantic systems without any human supervision. Taken
   together, these results demonstrate how humans and AI can evolve efficient
   semantic systems through social interaction and cultural transmission, and
   more broadly, they suggest that efficient compression may be a fundamental
   principle of intelligence.*



   - 2025/11/26 16:30-17:30 UTC+1: *Ece Takmaz* (Utrecht University)
   Title: [TBA]
   Abstract: [TBA]
   - 2025/12/17 16:30-17:30 UTC+1: *Ethan Wilcox* (Georgetown University)
   Title: [TBA]
   Abstract: [TBA]
   - 2026/01/21 16:30-17:30 UTC+1: *Gemma Boleda* (Universitat Pompeu Fabra)
   Title: [TBA]
   Abstract: [TBA]
   - 2026/03/18 16:30-17:30 UTC+1: *Adele Goldberg* (Princeton University)
   Title: [TBA]
   Abstract: [TBA]
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