Papers2

#large language models

Enhancing Sentiment Classification and Irony Detection in Large Language Models through Advanced Prompt Engineering Techniques

Marvin Schmitt, Anne Schwerk et al.Jan 13arXiv

Giving large language models a few good examples and step-by-step instructions can make them much better at spotting feelings in text.

#prompt engineering#few-shot learning#chain-of-thought

Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection

Beginner

Zhiwei Liu, Yupen Cao et al.Jan 8arXiv

This paper builds MFMD-Scen, a big test to see how AI changes its truth/false judgments about the same money-related claim when the situation around it changes.

#financial misinformation detection#scenario-induced bias#multilingual benchmark