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cs.LG2025
Selecting Fine-Tuning Examples by Quizzing VLMs
Tenghao Ji, Eytan Adar
A challenge in fine-tuning text-to-image diffusion models for specific topics is to select good examples. Fine-tuning from image sets of varying quality, such as Wikipedia Commons,…
cs.AI2025
Through the Judge's Eyes: Inferred Thinking Traces Improve Reliability of LLM Raters
Xingjian Zhang, Tianhong Gao, Suliang Jin +4
Large language models (LLMs) are increasingly used as raters for evaluation tasks. However, their reliability is often limited for subjective tasks, when human judgments involve su…
cs.HC2025
QuizRank: Picking Images by Quizzing VLMs
Tenghao Ji, Eytan Adar
Images play a vital role in improving the readability and comprehension of Wikipedia articles by serving as `illustrative aids.' However, not all images are equally effective and n…