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All SourcesarXiv
#self-consistency

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

Beginner
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

Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency

Beginner
Haoming Xu, Ningyuan Zhao et al.Jan 9arXiv

LLMs can look confident but still change their answers when the surrounding text nudges them, showing that confidence alone isn’t real truthfulness.

#Neighbor-Consistency Belief#belief robustness#self-consistency

Atlas: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning

Beginner
Jinyang Wu, Guocheng Zhai et al.Jan 7arXiv

ATLAS is a system that picks the best mix of AI models and helper tools for each question, instead of using just one model or a fixed tool plan.

#ATLAS#LLM routing#tool augmentation