Papers with Bayesian decision theory
The neural dynamics of word recognition and integration (2023.emnlp-main)
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| Challenge: | Using a computational model of word recognition, listeners combine expectations about upcoming content with incremental sensory evidence. |
| Approach: | They fit this model to scalp EEG signals recorded as subjects passively listened to a fictional story and found that words require more than 150 ms of input to be recognized. |
| Outcome: | The proposed model formalizes this perceptual process in Bayesian decision theory and reveals distinct neural processing of words depending on whether or not they can be quickly recognized. |
Improving Zero-shot LLM Re-Ranker with Risk Minimization (2024.emnlp-main)
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| Challenge: | Large Language Models (LLMs) are effective Query Likelihood Models, but their estimation is biased and the model's accuracy is poor. |
| Approach: | They propose a framework which leverages Bayesian decision theory to quantify and mitigate this bias. |
| Outcome: | The proposed framework improves re-ranking, especially in improving the Top-1 accuracy. |