62 citations · 105 across the 12 of their papers we have counts for
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cs.CL2023★ 3 cited
Efficient Black-Box Adversarial Attacks on Neural Text Detectors
Vitalii Fishchuk, Daniel Braun
Neural text detectors are models trained to detect whether a given text was generated by a language model or written by a human. In this paper, we investigate three simple and reso…
cs.CL2023★ 13 cited
Challenges in Domain-Specific Abstractive Summarization and How to Overcome them
Anum Afzal, Juraj Vladika, Daniel Braun +1
Large Language Models work quite well with general-purpose data and many tasks in Natural Language Processing. However, they show several limitations when used for a task such as d…
cs.CL2023★ 1 cited
Investigating Conversational Search Behavior For Domain Exploration
Phillip Schneider, Anum Afzal, Juraj Vladika +2
Conversational search has evolved as a new information retrieval paradigm, marking a shift from traditional search systems towards interactive dialogues with intelligent search age…