2 citations · 3 across the 13 of their papers we have counts for
4 papers · 1 filter
Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts
Julius Neumann, Robert Lange, Yuni Susanti +1
Sentiment classification in short text datasets faces significant challenges such as class imbalance, limited training samples, and the inherent subjectivity of sentiment labels --…
Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery
Yuni Susanti, Michael Färber
Causal discovery aims to estimate causal structures among variables based on observational data. Large Language Models (LLMs) offer a fresh perspective to tackle the causal discove…
Prompting or Fine-tuning? Exploring Large Language Models for Causal Graph Validation
Yuni Susanti, Nina Holsmoelle
This study explores the capability of Large Language Models (LLMs) to evaluate causality in causal graphs generated by conventional statistical causal discovery methods-a task trad…
Data Augmentation Techniques for Process Extraction from Scientific Publications
Yuni Susanti
We present data augmentation techniques for process extraction tasks in scientific publications. We cast the process extraction task as a sequence labeling task where we identify a…