Linear-Time Context Compression with State-Space Encoding
The Boa Compressor: a plug-and-play online context compressor that uses a state-space encoder to compress LLM context in linear time.
Research Engineer @ Computer Vision Center · Advanced MSc in AI @ KU Leuven
I work on document understanding and multimodal AI: vision-language models, document VQA, comics understanding, and efficient long-context inference. Vision and Language group at CVC, with Dimosthenis Karatzas.
The Boa Compressor: a plug-and-play online context compressor that uses a state-space encoder to compress LLM context in linear time.
Competition report on reasoning-heavy document VQA across eight domains, from business reports and slides to maps, comics and engineering drawings.
A multimodal Transformer for page stream segmentation in comics, with a new 20,800-page annotated dataset.