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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
Leveraging Discourse Structure for Extractive Meeting Summarization
Virgile Rennard, Guokan Shang, Michalis Vazirgiannis +1
We introduce an extractive summarization system for meetings that leverages discourse structure to better identify salient information from complex multi-party discussions. Using d…