6–9 oct. 2026
Campus Rangueil
Fuseau horaire Europe/Paris

Invited Talks

7 sur 7 affichés
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  1. 06/10/2026 14:00
  2. 07/10/2026 09:30
  3. 07/10/2026 14:00
  4. 08/10/2026 09:30

    Title: Low-Resource Preference Adaptation for LLMs

    Abstract:

    Adapting large language models to user-specific preferences is often constrained by the cost of
    human annotation, making preference optimisation impractical in low-resource settings where
    preferences cannot be reliably labelled by LLMs
    themselves, e.g., due to cultural, subjective, or personalised contexts. I...

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  5. 08/10/2026 14:00
  6. 09/10/2026 09:30
  7. Lihu Chen
    09/10/2026 11:00

    Title: Knowledge Boundary Awareness in Large Language Models

    Abstract: Large language models (LLMs) possess remarkable knowledge and reasoning capabilities, yet their capabilities are bounded. A fundamental challenge for trustworthy and efficient AI is enabling models to identify the limits of their own knowledge before producing an answer. In this talk, I will present our recent...

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