XplaiNLP Research Group
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Anchored Alignment for Self-Explanations Enhancement
In this work, we introduce a methodology for alignment designed to enhance the ability of large language models (LLMs) to articulate …
Luis-Felipe Villa-Arenas
,
Ata Nizamoglu
,
Qianli Wang
,
Prof. Sebastian Möller
,
Dr. Vera Schmitt
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From Construction to Application: Advancing Argument Mining with the Large-Scale KIALOPRIME Dataset
In this study, we introduce KIALOPRIME, a novel large-scale dataset comprising 5,687 argument discussion graphs with a total of …
Premtim Sahitaj
,
Ramon Ruiz-Dolz
,
Ariana Sahitaj
,
Ata Nizamoglu
,
Dr. Vera Schmitt
,
Salar Mohtaj
,
Prof. Sebastian Möller
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Privacy-Aware Decision Making: The Effect of Privacy Nudges on Privacy Awareness and the Monetary Assessment of Personal Information.
Nowadays, smartphones are equipped with various sensors collecting a huge amount of sensitive personal information about their users. …
Dr. Vera Schmitt
,
James Nicholson
,
Prof. Sebastian Möller
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A Feature Extraction based Model for Hate Speech Identification
The detection of hate speech online has become an important task, as offensive language such as hurtful, obscene and insulting content …
Salar Mohtaj
,
Dr. Vera Schmitt
,
Prof. Sebastian Möller
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