Papers with generating interpretation of
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses (2023.findings-acl)
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| Challenge: | Existing methods to reduce cognitive errors in MRI interpretations do not work for generating less likely outputs. |
| Approach: | They propose a task that asks a model to generate outputs that humans think are relevant but less likely to happen. |
| Outcome: | The proposed method compares with several state-of-the-art controlled text generation models via automatic and human evaluations and shows that it reduces cognitive errors in interpreting MRI findings. |