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Found 2 papers, 2 papers with code
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning
For in-context learning, we test InstructGPT models and find that most prompt strategies are not successful, including those using step-by-step reasoning.
Event knowledge in large language models: the gap between the impossible and the unlikely
Overall, our results show that important aspects of event knowledge naturally emerge from distributional linguistic patterns, but also highlight a gap between representations of possible/impossible and likely/unlikely events.
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