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LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
Automatic side-by-side evaluation has emerged as a promising approach to evaluating the quality of responses from large language models (LLMs).
Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models
Sensemaking in unfamiliar domains can be challenging, demanding considerable user effort to compare different options with respect to various criteria.
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