1 citations · 1 across the 7 of their papers we have counts for
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Learning from Convenience Samples: Fine-Tuning LLMs to Predict Voting Choices from Biased Survey Samples
Tobias Holtdirk, Dennis Assenmacher, Arnim Bleier +1
Survey research increasingly relies on convenience samples as rising costs and nonresponse make representative probability sampling more difficult. This creates a central challenge…
Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability
Lorraine Saju, Arnim Bleier, Jana Lasser +1
The proliferation of misinformation necessitates scalable, automated fact-checking solutions. Yet, current benchmarks often overlook multilingual and topical diversity. This paper…
Fair Pairs: Fairness-Aware Ranking Recovery from Pairwise Comparisons
Georg Ahnert, Antonio Ferrara, Claudia Wagner
Pairwise comparisons based on human judgements are an effective method for determining rankings of items or individuals. However, as human biases perpetuate from pairwise compariso…