Papers by Jingyuan S. She
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning (2023.acl-short)
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| Challenge: | Negation is a ubiquitous but complex linguistic phenomenon that poses a significant challenge for NLP systems. |
| Approach: | They propose a benchmark that measures how well models handle natural language negation . they extend ScoNe-NLI to embed negation reasoning in short narratives . |
| Outcome: | The proposed model can reason about negation, but struggles to do so on NLI examples outside of its core pretraining regime. |