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Elias Stengel-Eskin
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Publications
- 2025
- [c27]Swarnadeep Saha, Archiki Prasad, Justin Chih-Yao Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal:
System 1.x: Learning to Balance Fast and Slow Planning with Language Models. ICLR 2025 - [c26]Elias Stengel-Eskin, Peter Hase, Mohit Bansal:
Teaching Models to Balance Resisting and Accepting Persuasion. NAACL (Long Papers) 2025: 8108-8122 - 2024
- [j4]Peter Hase, Thomas Hofweber, Xiang Zhou, Elias Stengel-Eskin, Mohit Bansal:
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs? Trans. Mach. Learn. Res. 2024 (2024) - [c13]Elias Stengel-Eskin, Peter Hase, Mohit Bansal:
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models. NeurIPS 2024 - [i27]Elias Stengel-Eskin, Peter Hase, Mohit Bansal:
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models. CoRR abs/2405.21028 (2024) - [i26]Thomas Hofweber, Peter Hase, Elias Stengel-Eskin, Mohit Bansal:
Are language models rational? The case of coherence norms and belief revision. CoRR abs/2406.03442 (2024) - [i24]Peter Hase, Thomas Hofweber, Xiang Zhou, Elias Stengel-Eskin, Mohit Bansal:
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs? CoRR abs/2406.19354 (2024) - [i23]Swarnadeep Saha, Archiki Prasad, Justin Chih-Yao Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal:
System-1.x: Learning to Balance Fast and Slow Planning with Language Models. CoRR abs/2407.14414 (2024) - [i18]Elias Stengel-Eskin, Peter Hase, Mohit Bansal:
Teaching Models to Balance Resisting and Accepting Persuasion. CoRR abs/2410.14596 (2024)

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last updated on 2025-08-22 02:14 CEST by the dblp team
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