arXiv:2607. 07003v1 Announce Type: new Abstract: Large Language Models (LLMs) frequently exhibit sycophancy, where they agree with a user's statement even when incorrect.
By Anthony Baez, Sheer Karny, Pat Pataranutaporn
arXiv:2509.21305v4 Announce Type: replace
Abstract: Large language models (LLMs) often exhibit sycophantic behaviors -- such as excessive agreement with or flattery of the user -- but it is unclear w...
By Daniel Vennemeyer, Phan Anh Duong, Tiffany Zhan, Tianyu Jiang
arXiv:2609.35822v1 Announce Type: cross
Abstract: Sycophantic agreement in language models refers to the tendency to overly affirm a user's stated beliefs or preferences, often at the expense of fact...
By Sixing Chen, Zhuofan Josh Ying, Logan Riggs Smith, Jeremy Wertheimer, Natalie Shapira
arXiv:2606. 11502v1 Announce Type: cross Abstract: Language models can state that "the Earth orbits the Sun" and, when role-playing Aristotle, assert the opposite.
By Benjamin Sturgeon, David Africa, Sid Black
arXiv:2604.03058v3 Announce Type: replace-cross
Abstract: LLMs can be socially sycophantic, affirming users when they ask questions like "am I in the wrong?" rather than providing genuine assessment....
By Myra Cheng, Isabel Sieh, Humishka Zope, Sunny Yu, Lujain Ibrahim, Aryaman Arora, Jared Moore, Desmond Ong, Dan Jurafsky, Diyi Yang
arXiv:2605.30381v2 Announce Type: replace-cross
Abstract: When a language model is fine-tuned to produce systematically incorrect responses, does this training leave a structured, linearly recoverabl...
By Vahideh Zolfaghari