Seeing the Unseen: Visual Similarity for Pixel Language Model Adaptation

arXiv:2608.30541 · cs.CL · Submitted 2026-08-31 · Read on arXiv

cs.CL

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• Adaptation — 10× in this paper · explained in 1 episode
• Cross-lingual Transfer — 10× in this paper · explained in 2 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Clustering — 9× in this paper · explained in 2 episodes
• Low-Resource Languages — 9× in this paper · explained in 4 episodes
• Downstream Tasks — 8× in this paper · explained in 2 episodes
• Fine-Tuning — 8× in this paper · explained in 5 episodes
• Tokenization — 6× in this paper · explained in 2 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Named Entity Recognition — 2× in this paper
• Ablation study — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• European Language Resources Association — 1× in this paper
• Named Entity Recognition (NER) — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Two-Stage Framework — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• MIXAR: Scaling Autoregressive Pixel-based Language Models to Multiple Languages and Scripts
• Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
• Contrastive-to-Self-Supervised: A Two-Stage Framework for Script Similarity Learning

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering