Building Confidence in LLM Answers: Highlighting Source Texts in PDF Files | by Angela & Kezhan Shi | December 2024
100% accuracy isn't everything: helping users navigate the document is the real valueSo you are creating a RAG system or ...
Tag: texts
Tencent Research Introduces DRT-o1: Two Variants DRT-o1-7B and DRT-o1-14B With a Breakthrough in Neural Machine Translation for Literary Texts
Neural machine translation (NMT) is a sophisticated branch of natural language processing that automates the conversion of text between languages ...
BEAL: A Bayesian Deep Active Learning Method for Efficient Deep Classification of Multi-Labeled Texts
Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved cutting-edge results in ...
Swing-state voters bombarded with misleading 'pro-Harris' texts
Voters in swing states are being inundated with text messages apparently designed to appear to come from supporters of Vice ...
CAT-BENCH: assessing the understanding of temporal dependencies in procedural texts by linguistic models
Understanding how LLMs understand natural language plans, such as instructions and recipes, is crucial for their reliable use in decision-making ...
AI-powered app helps readers understand classic texts
For the past year, two philosophy professors have been visiting prominent authors and public intellectuals with an unusual, perhaps heretical, ...
Study: Students who read printed texts learn more than those who read tablets
A new study finds that students who read printed texts understand content better than those who read the same text ...
How does increasing recall affect answering long questions? This AI study provides new insights into how increased recall affects the generation of linguistic models of long, knowledge-rich texts
LFQA aims to provide a complete and exhaustive response to any query. Parametric information in large language models (LLMs) and ...
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