Papers2

#sentiment analysis

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

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

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