Vision-Large-Language Models
PulseAugur coverage of Vision-Large-Language Models — every cluster mentioning Vision-Large-Language Models across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
New framework enables self-supervised concept discovery in VLLMs
Researchers have developed S$^2$COPE, a novel framework for self-supervised concept discovery in vision-large language models (VLLMs). This label-free approach uses VLLMs as active participants in a preference optimizat…
-
New METATR benchmark evaluates multilingual ATR systems
Researchers have introduced METATR (v1.0), a new multilingual benchmark designed to evaluate Automatic Text Recognition (ATR) systems, particularly Vision-Large Language Models (vLLMs). Unlike existing benchmarks that f…
-
New benchmark tests VLLMs on historical Chinese character evolution
Researchers have introduced Chronicles-OCR, a new benchmark designed to test the cross-temporal perception abilities of Vision Large Language Models (VLLMs) on Chinese characters. This benchmark covers the complete evol…