Papers with Claude 2
Enhancing Perception: Refining Explanations of News Claims with LLM Conversations (2024.findings-naacl)
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| Challenge: | a new framework for Large Language Models (LLMs) streamlines the task of crafting explanations for fake news . a study compared refinement conversations between human and LLMs to enhance the effectiveness of LLM explanations . |
| Approach: | They propose a framework for Large Language Models to streamline the task of crafting fake news explanations. |
| Outcome: | The proposed framework enhances the process of crafting explanations for fake news claims through conversational refinement. |
Teaching Language Models to Self-Improve by Learning from Language Feedback (2024.findings-acl)
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| Challenge: | Recent advances in Large Language Models (LLMs) generate content that can be untruthful or harmful. |
| Approach: | They propose a method that leverages model feedback for alignment . they use a base language model to generate initial responses, critiqued and refined . |
| Outcome: | The proposed method outperforms strong baselines across diverse tasks and model sizes. |