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Found 3 papers, 1 papers with code
Syntax-Guided Transformers: Elevating Compositional Generalization and Grounding in Multimodal Environments
Compositional generalization, the ability of intelligent models to extrapolate understanding of components to novel compositions, is a fundamental yet challenging facet in AI research, especially within multimodal environments.
Using Persuasive Writing Strategies to Explain and Detect Health Misinformation
We evaluate fine-tuning and prompt-engineering techniques with pre-trained language models of the BERT family and the generative large language models of the GPT family using persuasive strategies as an additional source of information.
Evaluating Persian Tokenizers
Natural Language Processing in Persian is challenging due to Persian's exceptional cases, such as half-spaces.
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