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A high-interaction AI-based deception framework

A high-interaction AI-based deception framework
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals ...
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XLSR-Kanformer: A KAN-Intergrated model for Synthetic Speech Detection

A high-interaction AI-based deception framework
arXiv:2510.06706v1 Announce Type: cross Abstract: Recent advancements in speech synthesis technologies have led to increasingly sophisticated spoofing attacks, posing significant ...
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Helpful, Harmless, Honest Fusion of Aligned LLMs

A high-interaction AI-based deception framework
[Submitted on 26 Nov 2024 (v1), last revised 6 Oct 2025 (this version, v2)] View a PDF of the paper ...
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Evaluating Multimodal Large Language Models for Map Question Answering

A high-interaction AI-based deception framework
[Submitted on 15 Jul 2025 (v1), last revised 3 Oct 2025 (this version, v2)] View a PDF of the paper ...
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Can YOUR Speech LM Handle the Stress?

A high-interaction AI-based deception framework
[Submitted on 28 May 2025 (v1), last revised 5 Oct 2025 (this version, v2)] View a PDF of the paper ...
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On the effect of input length for machine translation evaluation using Large Language Models

A high-interaction AI-based deception framework
[Submitted on 3 May 2025 (v1), last revised 3 Oct 2025 (this version, v2)] View a PDF of the paper ...
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A Computationally Efficient Attention Mechanism with Query Heads Reduction

A high-interaction AI-based deception framework
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals ...
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[2505.11679] Ambiguity in LLMs is a concept missing problem

A high-interaction AI-based deception framework
[Submitted on 16 May 2025 (v1), last revised 1 Oct 2025 (this version, v3)] View a PDF of the paper ...
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Data Augmentation for Cultural Knowledge Representation

A high-interaction AI-based deception framework
[Submitted on 24 Aug 2025 (v1), last revised 1 Oct 2025 (this version, v2)] View a PDF of the paper ...
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Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment

A high-interaction AI-based deception framework
[Submitted on 29 Sep 2025 (v1), last revised 30 Sep 2025 (this version, v2)] Authors:Liang Lin, Zhihao Xu, Junhao Dong, ...
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