Exploring In-Context Learning for Handwritten Text Recognition

arXiv:2609.37195 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Handwritten Text Recognition — 35× in this paper
• In-Context Learning — 30× in this paper · explained in 4 episodes
• Adaptation — 11× in this paper · explained in 1 episode
• Transfer Learning — 7× in this paper · explained in 10 episodes
• Domain Shift — 6× in this paper · explained in 4 episodes
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Character Error Rate — 3× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Automatic Speech Recognition (ASR) — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Deep Learning — 1× in this paper
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• International Conference on Document Analysis and Recognition — 1× in this paper
• International Conference on Frontiers in Handwriting Recognition — 1× in this paper
• Ludovico Antonio Muratori — 1× in this paper
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes

Sources

• Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
• Kimi-VL Technical Report

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