2 citations · 3 across the 8 of their papers we have counts for
3 papers · 1 filter
Commute-Time-Optimised Graphs for GNNs
Igor Sterner, Shiye Su, Petar Veličković
We explore graph rewiring methods that optimise commute time. Recent graph rewiring approaches facilitate long-range interactions in sparse graphs, making such rewirings commute-ti…
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…
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…