1 citations · 1 across the 2 of their papers we have counts for
3 papers
AutoRecLab: Describe the Experiment, Get the Code!
Moritz Baumgart, Philipp Meister, Justus Krell +3
Empirical evaluation is central to recommender-systems (RecSys) research, but turning experimental designs into executable code remains a manual and error-prone task. We present Au…
syftr: Pareto-Optimal Generative AI
Alexander Conway, Debadeepta Dey, Stefan Hackmann +4
Retrieval-Augmented Generation (RAG) pipelines are central to applying large language models (LLMs) to proprietary or dynamic data. However, building effective RAG flows is complex…
Word Importance Explains How Prompts Affect Language Model Outputs
Stefan Hackmann, Haniyeh Mahmoudian, Mark Steadman +1
The emergence of large language models (LLMs) has revolutionized numerous applications across industries. However, their "black box" nature often hinders the understanding of how t…