Papers by Shubhendu Trivedi

1 papers
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation (2024.emnlp-main)

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Challenge: Currently, the most commonly used confidence score is the likelihood of the generated sequence . different tokens should be weighted differently depending on the context.
Approach: They propose to assign different weights to various tokens using attention values elicited from the base LLM.
Outcome: The proposed model improves the confidence of the predicted sequence probability by assigning weights to tokens based on attention values elicited from the base model.

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