2 citations · 2 across the 3 of their papers we have counts for
4 papers
Rate-Utility Frontiers for Language Encodings: Comparing Tokens, Bytes, and Pixels Under Controlled Linguistic Content
Ingo Ziegler, Martin Krebs, Desmond Elliott
Language models encode text as subword tokens, raw bytes, or rendered pixels, but these encodings are usually compared under modeling constraints that expose different amounts of l…
Multilingual Pretraining for Pixel Language Models
Ilker Kesen, Jonas F. Lotz, Ingo Ziegler +2
Pixel language models operate directly on images of rendered text, eliminating the need for a fixed vocabulary. While these models have demonstrated strong capabilities for downstr…
ImageChain: Advancing Sequential Image-to-Text Reasoning in Multimodal Large Language Models
Danae Sánchez Villegas, Ingo Ziegler, Desmond Elliott
Reasoning over sequences of images remains a challenge for multimodal large language models (MLLMs). While recent models incorporate multi-image data during pre-training, they stil…
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation
Ingo Ziegler, Abdullatif Köksal, Desmond Elliott +1
Building high-quality datasets for specialized tasks is a time-consuming and resource-intensive process that often requires specialized domain knowledge. We propose Corpus Retrieva…