Technical Analysis: Computational Complexity and Accuracy Tradeoffs in Schema-Guided Document Extraction
An analysis of the computational and accuracy tradeoffs behind schema guided document extraction, based on real world evals on complex documents.
Read the full articleYou might also wanna read
Lessons from Building a Document Q&A Bot: The Hidden Complexity of Embeddings
I spent a weekend building a Q&A bot for my team's internal docs. It sounded easy: dump PDFs into...
dev.to·11d ago
Cracking the Code: Streamlined Pruning for Large Language Models
A new method revitalizes structured pruning in large language models, merging efficiency with accuracy. Discover how this could reshape AI m
Exposing Vision Language Model Limitations with SynthDocBench
SynthDocBench reveals unexpected weaknesses in vision language models, challenging their capability to handle long, complex, and structured
AI Models Continue to Struggle with PDF Processing Despite Technological Advances
For all of the AI industry’s advancements, the major models like ChatGPT and Claude still struggle with PDFs, one of the oldest and ubiquito
The Verge·4mo ago
Grounded Event Extraction from SEC 8-K Filings with a Fine-Grained Taxonomy
arXiv:2607.08346v1 Announce Type: new Abstract: Form 8-K filings are the primary channel through which U.S. public companies disclose materi
Study reveals why in-context learning fails on complex specification-heavy tasks and how fine-tuning can help
In-context learning (ICL) has become the default method for using large language models (LLMs), making the exploration of its limitations an
arxiv.org·26d ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.