Tatsuya Hiraoka

We propose a corpus-dependent alternative to byte encoding that learns fixed-length atomic codes for characters directly from text, which we refer to as Latom (Learned Atom-based Encoding).We instantiate this framework by training an HMM on N-repeated character sequences to estimate “atom” poster...

We introduce VLURes , a multilingual benchmark for evaluating Vision-Language Models (VLMs) under long-text grounding : selecting and reasoning over the image-relevant subset of article-length text that contains distractors and ungrounded claims. VLURes contains 4,000 web-curated image + long-tex...