Papers by Khushi Bhardwaj
Development of Cognitive Intelligence in Pre-trained Language Models (2024.emnlp-main)
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| Challenge: | Recent studies show evidence for emergent cognitive abilities in Large Pre-trained Language Models (PLMs). Prior research into emergental cognitive abilities of PLMs has been path-independent to model training. |
| Approach: | They use four task categories to examine the alignment of ten popular families of PLMs and evaluate their performance to the developmental trajectories of children's thinking. |
| Outcome: | The results show that the models are more aligned to children's thinking than previous studies. |
Numeric Magnitude Comparison Effects in Large Language Models (2023.findings-acl)
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| Challenge: | Prior research on the representational capabilities of LLMs evaluates whether they show human-level performance. |
| Approach: | They ask how well popular LLMs capture the magnitudes of numbers from a behavioral lens. |
| Outcome: | The proposed model captures the magnitudes of numbers from a behavioral lens. |