ELOQUENT shared tasks for evaluation of generative language model quality

ELOQUENT provides a set a of tasks for evaluating the quality of generative language models.

Tasks:

  • 1 - Topical competence

    This task will test and verify a model's understanding of an application domain and specific topic of interest.

  • 2 - Veracity and hallucination

    This task will test how the truthfulness or veracity of automatically generated text can be assessed.

  • 3 - Robustness

    This task will test the capability of a model to handle input variation -- e.g. dialectal, sociolectal, and cross-cultural -- as represented by a set of equivalent but non-identical varieties of input prompts.

  • 4 - Voight Kampff

    This task will explore whether automatically-generated text can be distinguished from human-authored text. This task will be organised in collaboration with the PAN lab at CLEF.

Organizers

  • Jussi Karlgren, SiloGen
  • Luise Dürlich, RISE ICT
  • Evangelia Gogoulou, RISE ICT
  • Liane Guillou, RISE ICT
  • Joakim Nivre, RISE ICT
  • Magnus Sahlgren, AI Sweden
  • Aarne Talman, SiloGen

Contact

jussi.karlgren@silo.ai • aarne.talman@silo.ai • liane.guillou@ri.se • joakim.nivre@ri.se • luise.durlich@ri.se • evangelia.gogoulou@ri.se • magnus.sahlgren@ai.se