Structured prompts can steer LLMs to flag certain unsupported claims and ambiguous pronouns, but performance varies sharply by model, context, and the syntactic role of the target, and the single test case was also the development case.
Towards AI-assisted Academic Writing
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abstract
We present components of an AI-assisted academic writing system including citation recommendation and introduction writing. The system recommends citations by considering the user's current document context to provide relevant suggestions. It generates introductions in a structured fashion, situating the contributions of the research relative to prior work. We demonstrate the effectiveness of the components through quantitative evaluations. Finally, the paper presents qualitative research exploring how researchers incorporate citations into their writing workflows. Our findings indicate that there is demand for precise AI-assisted writing systems and simple, effective methods for meeting those needs.
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AI-Facilitated Analysis of Abstracts and Conclusions: Flagging Unsubstantiated Claims and Ambiguous Pronouns
Structured prompts can steer LLMs to flag certain unsupported claims and ambiguous pronouns, but performance varies sharply by model, context, and the syntactic role of the target, and the single test case was also the development case.