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cs.CL2026
On Epistemic Diversity in Large Language Models
Elisabeth Kirsten, Nicole Krämer, Muhammad Bilal Zafar
Large language models (LLMs) are increasingly used not only to retrieve information, but to answer questions, explain, teach, and support inquiry. In such settings, evaluation cann…
cs.CL2024
The Impact of Inference Acceleration on Bias of LLMs
Elisabeth Kirsten, Ivan Habernal, Vedant Nanda +1
Last few years have seen unprecedented advances in capabilities of Large Language Models (LLMs). These advancements promise to benefit a vast array of application domains. However,…