2 citations · 3 across the 4 of their papers we have counts for
4 papers
Large Language Models Do Not Simulate Human Psychology
Sarah Schröder, Thekla Morgenroth, Ulrike Kuhl +2
Large Language Models (LLMs),such as ChatGPT, are increasingly used in research, ranging from simple writing assistance to complex data annotation tasks. Recently, some research ha…
Assessing LLM Text Detection in Educational Contexts: Does Human Contribution Affect Detection?
Lukas Gehring, Benjamin Paaßen
Recent advancements in Large Language Models (LLMs) and their increased accessibility have made it easier than ever for students to automatically generate texts, posing new challen…
GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling
Philipp Vaeth, Alexander M. Fruehwald, Benjamin Paassen +1
To sample from an unconditionally trained Denoising Diffusion Probabilistic Model (DDPM), classifier guidance adds conditional information during sampling, but the gradients from c…
Diffusion-based Visual Counterfactual Explanations -- Towards Systematic Quantitative Evaluation
Philipp Vaeth, Alexander M. Fruehwald, Benjamin Paassen +1
Latest methods for visual counterfactual explanations (VCE) harness the power of deep generative models to synthesize new examples of high-dimensional images of impressive quality.…