Papers with compartmentalized approaches

1 papers
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation (2023.emnlp-main)

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Challenge: Language understanding is a multi-faceted cognitive capability, which the Natural Language Processing community has striven to model computationally for decades.
Approach: They propose to rethink what constitutes tasks and model evaluation in NLP and pursue a more holistic view on language, placing trustworthiness at the center.
Outcome: The proposed models are based on generative models and are being deployed in more real-world scenarios, including previously unforeseen zero-shot setups.

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