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Kristina Gligoric

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Multi-Perspective LLM Annotations for Valid Analyses in Subjective Tasks

Large language models are increasingly used to annotate texts, but their outputs reflect some human perspectives better than others. Existing methods for correcting LLM annotation error assume a single ground truth. However, this assumption fails in subjective tasks where disagreement across demographic groups is meani...

N. Mehrotra, Adam Visokay, Kristina Gligoric · 2 citations
#computer vision Preprint Sep 2026

Paying for Too Many Tokens? Valid and Cost-Efficient Multimodal LLM Annotation with Simple Heuristics

Vision-Language Models (VLMs) enable video annotation at scale, but costs accumulate quickly: processing a typical 60-second short-form video at one frame per second requires millions of tokens. To reduce costs, researchers rely on heuristics such as sampling a subset of frames, compressing videos into image grids, or...

Zhi-Xiu Zhu, Kristina Gligoric · 0 citations

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