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Disambiguation of "Hase, Peter"

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FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging.

, , , , and . EMNLP (1), page 10333-10350. Association for Computational Linguistics, (2021)

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Peter Häse

Hellmut Hase

Gunter Häse

Ursula Hase

Dietrich Hase

 

Other publications of authors with the same name

The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations., , and . NeurIPS, page 3650-3666. (2021)Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees., , , and . ICLR, OpenReview.net, (2023)Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations., , , and . EMNLP, page 2121-2131. Association for Computational Linguistics, (2022)Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?, , , , and . CoRR, (2024)Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks., , and . ICLR, OpenReview.net, (2024)Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models., , , , , , , and . EACL, page 2706-2723. Association for Computational Linguistics, (2023)Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?, and . ACL, page 5540-5552. Association for Computational Linguistics, (2020)LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models., , and . CoRR, (2024)Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback., , , , , , , , , and 22 other author(s). Trans. Mach. Learn. Res., (2023)Rethinking Machine Unlearning for Large Language Models., , , , , , , , , and 3 other author(s). CoRR, (2024)