Belief Revision: The Adaptability of Large Language Models Reasoning (2024.emnlp-main)
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| Challenge: | Existing evaluations assume language models operate with consistent information. |
| Approach: | They propose a dataset to test LMs' belief revision ability when presented with new evidence. |
| Outcome: | The proposed framework improves language models’ adaptiveness to changing information, highlighting a critical trade-off. |
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