arXiv:2607. 25270v1 Announce Type: cross Abstract: Activation steering controls language models by adding vectors or features to hidden states at inference time, but the upstream source of these steering signals is often treated as a secondary detail.
By Jiaran Ye, Lingxu Ran, Zijun Yao, Chenpeng Wang, Yong Jiang, Lei Hou, Juanzi Li, Liangming Pan
arXiv:2610.32055v1 Announce Type: new
Abstract: Large language models (LLMs) often exhibit sycophancy, altering their answers to align with user suggestions even on objective factual and reasoning ta...
By Anxin Guo, Chirag Pabbaraju, Sara Ahmadian, Kamesh Munagala, Aravindan Vijayaraghavan
arXiv:2603.13911v2 Announce Type: replace
Abstract: A language model can give the wrong answer even when the correct answer is decodable from its intermediate states. To study this gap between decoda...
By Valeria Ruscio, Keiran Thompson
arXiv:2610.19696v1 Announce Type: new
Abstract: Multi-agent systems allow language models to solve tasks collaboratively by sharing complementary information. These systems typically communicate thro...
By Xin Li, Mengbing Liu, Hao Jiang, Xin Gao, Annan Wang, Xingwei Qu, Yichi Zhang, Chau Yuen
arXiv:2606. 01202v1 Announce Type: new Abstract: Language models do not simply choose an answer at the output layer.
By Shailesh Rana
arXiv:2610.32109v1 Announce Type: new
Abstract: Language models can answer a question from a supplied document or from their parametric knowledge. When later asked where the answer came from, what de...
By Kirill Afendulev, Alexey Dontsov, Alla Chepurova, Elena Tutubalina, Anton Korznikov