2 citations · 3 across the 8 of their papers we have counts for
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cs.CL2024★ 2 cited
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
Markus Frohmann, Igor Sterner, Ivan Vulić +2
Segmenting text into sentences plays an early and crucial role in many NLP systems. This is commonly achieved by using rule-based or statistical methods relying on lexical features…
cs.CL2024★ 1 cited
Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches
Igor Sterner, Weizhe Lin, Jinghong Chen +1
Two approaches have emerged to input images into large language models (LLMs). The first is to caption images into natural language. The second is to map image feature embeddings i…