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cs.CL2024
Bias in the Mirror: Are LLMs opinions robust to their own adversarial attacks ?
Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis
Large language models (LLMs) inherit biases from their training data and alignment processes, influencing their responses in subtle ways. While many studies have examined these bia…
cs.CL2024
Graph Linearization Methods for Reasoning on Graphs with Large Language Models
Christos Xypolopoulos, Guokan Shang, Xiao Fei +6
Large language models have evolved to process multiple modalities beyond text, such as images and audio, which motivates us to explore how to effectively leverage them for graph re…