Existing approaches for auditing large language models (LLMs) often focus on isolated aspects of model behavior, such as detecting specific biases or evaluating fairness, rather than understanding how outputs depend on each input token.

Authors

• Person: Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche Organization: AISTATS
  Track: Poster Session 3 - aistats 2026

Sources

• Track: Poster Session 3 - aistats 2026 virtual.aistats.org Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche · AISTATS via serper

Referenced by nodes (1)

• Large Language Models concept