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#few-shot learning

PingPong: A Natural Benchmark for Multi-Turn Code-Switching Dialogues

Intermediate

Mohammad Rifqi Farhansyah, Hanif Muhammad Zhafran et al.Jan 24arXiv

Most people on Earth speak more than one language and often switch languages in the same chat, but AI tools aren’t tested well on this real behavior.

#code-switching#multilingual NLP#trilingual dialogue

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

RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes

Beginner

Yuan-Kang Lee, Kuan-Lin Chen et al.Jan 8arXiv

This paper teaches a camera to fix nighttime colors by combining a smart rule-based color trick (SGP-LRD) with a learning-by-trying helper (reinforcement learning).

#auto white balance#color constancy#nighttime imaging

IC-Effect: Precise and Efficient Video Effects Editing via In-Context Learning

Intermediate

Yuanhang Li, Yiren Song et al.Dec 17arXiv

IC-Effect is a new way to add special effects to existing videos by following a text instruction while keeping everything else unchanged.

#video editing#visual effects#diffusion transformer