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:
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1 - Topical competence
This task will test and verify a model's understanding of an application domain and specific topic of interest.
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2 - Veracity and hallucination
This task will test how the truthfulness or veracity of automatically generated text can be assessed.
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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.
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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