NLP for Long, Structured Documents
MBZUAI ·
Jan Buchmann from TU Darmstadt presented research on NLP for long, structured documents at MBZUAI. The research addresses gaps in using document structure and improving the verifiability of LM responses. Experiments showed that models learn to represent document structure during pre-training, and larger models can cite sources well. Why it matters: This research contributes to making NLP more effective for complex documents like scientific articles and legal texts, which is crucial for information accessibility.