Seonglae ChoASA
arxiv.org
https://arxiv.org/pdf/2602.04935v2
tool hallucination
arxiv.org
https://arxiv.org/pdf/2601.05214
trigger
aclanthology.org
https://aclanthology.org/2025.acl-long.655.pdf
RAG
CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control
Liu Huanshuo, Hao Zhang, Zhijiang Guo, Jing Wang, Kuicai Dong, Xiangyang Li, Yi Quan Lee, Cong Zhang, Yong Liu. Findings of the Association for Computational Linguistics: ACL 2025. 2025.
https://aclanthology.org/2025.findings-acl.652/
Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval
Ingeol Baek, Hwan Chang, ByeongJeong Kim, Jimin Lee, Hwanhee Lee. Findings of the Association for Computational Linguistics: NAACL 2025. 2025.
https://aclanthology.org/2025.findings-naacl.181/
Where prior work largely focused on detecting tool-calling errors or on binary choice control, this paper is the first to identify a linear switch toward a specific tool in multi-tool settings, along with the underlying mechanism: a three-stage circuit.
Tool Calling is Linearly Readable and Steerable in Language Models
When a tool-calling agent picks the wrong tool, the failure is invisible until execution: the email gets sent, the meeting gets missed. As agents take on consequential actions, one bad tool call...
https://arxiv.org/abs/2605.07990
