Papers with object extraction
Do BabyLMs Wanna Learn Wanna Contraction? On the Learnability without Language-Specific Bias (2026.findings-acl)
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| Challenge: | grammatical constraints on wanna contraction can be learned by artificial learners under cognitively plausible learning conditions. |
| Approach: | They evaluate 24 BabyLMs from 2024 BabyLM Challenge and four standard models . they find that only encoder-based BabyLM models can capture wanna contraction . |
| Outcome: | The proposed models show modest but meaningful sensitivity on large datasets and high-frequency wanna instances. |
How Do Multilingual Language Models Remember Facts? (2025.findings-acl)
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| Challenge: | Prior research has focused on English monolingual models, but how these mechanisms generalize to non-English languages remains unexplored. |
| Approach: | They analyze three multilingual LLMs to find out how they can generalize recall mechanisms . they find that subject enrichment is language-independent, object extraction is language dependent . |
| Outcome: | The proposed model performs better in multilingual contexts than in English models . the model is more efficient in multi-lingual context, but it is more complex in multilinguistic models compared to English models. |