Papers3

All Beginner Intermediate Advanced

All Sources arXiv

#sentiment analysis

A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass Classification

Intermediate

Gonzalo Ariel Meyoyan, Luciano Del CorroJan 19arXiv

This paper shows how to add a tiny helper (a probe) to a big language model so it can classify things like safety or sentiment during the same pass it already does to answer you.

#LLM orchestration#single-pass classification#hidden-state probing

Not triaged yet

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

Not triaged yet

A unified framework for detecting point and collective anomalies in operating system logs via collaborative transformers

Intermediate

Mohammad Nasirzadeh, Jafar Tahmoresnezhad et al.Dec 29arXiv

CoLog is a new AI system that reads computer logs like a story and spots both single strange events (point anomalies) and strange patterns over time (collective anomalies).

#log anomaly detection#multimodal learning#collaborative transformer

Not triaged yet