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Related Questions
- What are the key challenges in using large language models for summarizing complex scientific or engineering results?
- Can you discuss the current state-of-the-art in using transformer-based architectures for scientific summarization?
- How do large language models handle nuances such as ambiguity, uncertainty, and conflicting information in scientific reports?
- What are some recent advancements in using pre-trained language models for scientific summarization, and how do they improve over traditional methods?
- What are the current limitations of using large language models for generating summaries of complex scientific or engineering results?
- How do large language models handle domain-specific terminology and jargon in scientific reports?
- What are some potential applications of using large language models for scientific summarization, such as in research paper summarization or patent analysis?
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