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Large Language Models (LLMs) have advanced natural language processing, particularly through Chain-of-Thought (CoT) reasoning, but their high computational costs limit deployment. We propose ...

We present SELOR, a framework for integrating self-explaining capabilities into a given deep model to achieve both high prediction performance and human precision. By “human precision”, we refer to ...

The official implementation of our paper "Interpretable Multimodal Misinformation Detection with Logic Reasoning", was accepted by Finding of ACL 23 (4/4/4 for excitement and soundness). More detailed ...

Abstract: Large language models (LLMs) such as ChatGPT and GPT-4 have demonstrated impressive capabilities in various generative tasks. However, their performance is often hampered by limitations in ...

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