SLMs achieve competitive performance with LLMs on pedagogically grounded metrics for assessment design but exhibit biases in model-based evaluation versus experts, supporting bounded AI use with human oversight.
arXiv preprint arXiv:2405.11579 , year=
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A tree-of-thoughts inspired hybrid extractive-abstractive LLM prompt yields better legal case judgment summaries than standard extractive or abstractive prompts.
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Small, Private Language Models as Teammates for Educational Assessment Design
SLMs achieve competitive performance with LLMs on pedagogically grounded metrics for assessment design but exhibit biases in model-based evaluation versus experts, supporting bounded AI use with human oversight.
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A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs
A tree-of-thoughts inspired hybrid extractive-abstractive LLM prompt yields better legal case judgment summaries than standard extractive or abstractive prompts.