Meicong Zhang

Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models

Large language models (LLMs) often struggle to accurately read and comprehend extremely long texts. Current methods for improvement typically rely on splitting long contexts into fixed-length chunks. However, fixed truncation risks separating semantically relevant content, leading to ambiguity and c…