Papers by Olessia Jouravlev
A fine-grained comparison of pragmatic language understanding in humans and language models (2023.acl-long)
Copied to clipboard
| Challenge: | Pragmatics and non-literal language understanding are essential to human communication . a long-standing challenge for artificial language models is to capture pragmatics . |
| Approach: | They compare language models and humans on seven pragmatic phenomena using curated English materials. |
| Outcome: | The proposed model achieves high accuracy and matches human error patterns . the results suggest pragmatic behaviors can emerge in models without explicit representations of mental states . |