2 citations · 2 across the 4 of their papers we have counts for
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cs.CL2026
Confidently Deceptive: On the Relationship Between Confidence and Deception in LLMs
Ali Asad, Stephen Obadinma, Anshul Pattoo +2
The increasing capabilities of large language models (LLMs) are being accompanied by deep-rooted risks of deceptive behaviours that cause models to produce misleading outputs in se…
cs.CL2025
On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks
Stephen Obadinma, Xiaodan Zhu
Robust verbal confidence generated by large language models (LLMs) is crucial for the deployment of LLMs to help ensure transparency, trust, and safety in many applications, includ…
cs.CL2025★ 2 cited
RedDebate: Safer Responses Through Multi-Agent Red Teaming Debates
Ali Asad, Stephen Obadinma, Radin Shayanfar +1
We introduce RedDebate, a novel multi-agent debate framework that provides the foundation for Large Language Models (LLMs) to identify and mitigate their unsafe behaviours. AI safe…