FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
arXiv:2508.00889v1 Announce Type: new Abstract: Large language models (LLMs) are known to hallucinate, producing natural language outputs that are not ...
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A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
[Submitted on 27 Mar 2025 (v1), last revised 1 Aug 2025 (this version, v2)] View a PDF of the paper ...
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Activation-Guided Local Editing for Jailbreaking Attacks

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
arXiv:2508.00555v1 Announce Type: cross Abstract: Jailbreaking is an essential adversarial technique for red-teaming these models to uncover and patch security ...
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A Dataset for Mistake Action Detection from Egocentric Videos referring to Procedural Texts

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
[Submitted on 7 Oct 2024 (v1), last revised 31 Jul 2025 (this version, v3)] View a PDF of the paper ...
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A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
[Submitted on 11 Jul 2025 (v1), last revised 31 Jul 2025 (this version, v3)] View a PDF of the paper ...
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A Generative Framework Using LLMs

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
[Submitted on 13 Dec 2024 (v1), last revised 29 Jul 2025 (this version, v3)] View a PDF of the paper ...
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A Survey of Tasks, Datasets, Models, and Challenges

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
[Submitted on 25 Oct 2024 (v1), last revised 30 Jul 2025 (this version, v3)] View a PDF of the paper ...
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Navigating Ideologies of Large Language Models

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
[Submitted on 24 Jun 2025 (v1), last revised 29 Jul 2025 (this version, v2)] View a PDF of the paper ...
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Dissecting Persona-Driven Reasoning in Language Models via Activation Patching

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
arXiv:2507.20936v1 Announce Type: cross Abstract: Large language models (LLMs) exhibit remarkable versatility in adopting diverse personas. In this study, we ...
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Unveiling the reasoning behaviour of medical Large Language Models

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
[Submitted on 20 Dec 2024 (v1), last revised 28 Jul 2025 (this version, v2)] View a PDF of the paper ...
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