Papers by Joshua Jose Dias Barreto

1 papers
This is not a Disimprovement: Improving Negation Reasoning in Large Language Models via Prompt Engineering (2025.findings-emnlp)

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Challenge: Negation reasoning remains a challenge for large language models (LLMs) a negative token attention score (NTAS) is introduced to quantify attention to negation words.
Approach: They propose two genres of prompts that improve negation accuracy by up to 3.17% . they also propose a negative token attention score to quantify attention to negation words .
Outcome: The proposed prompts improve negation accuracy and absolute accuracy by 3.17% over baselines.

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