1.3k citations · 2.3k across the 88 of their papers we have counts for
7 papers · 1 filter
XAI-Arena: Can LLMs Assess the Quality of XAI Explanations?
Yanfei Hu Fleischhauer, Alona Zharova, Nadja Klein +1
Evaluating the quality of explanations produced by explainable AI (XAI) methods remains challenging because existing approaches often rely on subjective human judgment, limiting re…
LLM-SoccerArena: Benchmarking LLMs on Real-World Predictions in Sports
Jonas Schröder, Jonas Schweisthal, Oliver Müller +2
Large language models (LLMs) increasingly support decisions about uncertain future events, yet evaluating their ability to forecast real-world outcomes remains difficult. In partic…
AutoSynthesis: An agentic system for automated meta-analysis
Moein Taherinezhad, Sebastian Maier, Gerardo Vitagliano +2
Evidence synthesis is crucial for turning primary research into reliable knowledge for science, medicine, education, and policy. Yet, quantitative evidence synthesis remains largel…
Automated reproducibility assessments in the social and behavioral sciences using large language models
Tobias Holtdirk, Pietro Marcolongo, Anna Steinberg Schulten +7
Reproducibility in the social and behavioral sciences is typically evaluated by independent researchers who reanalyze the original data to assess whether the published findings can…
MedClarify: An information-seeking AI agent for medical diagnosis with case-specific follow-up questions
Hui Min Wong, Philip Heesen, Pascal Janetzky +2
Large language models (LLMs) are increasingly used for diagnostic tasks in medicine. In clinical practice, the correct diagnosis can rarely be immediately inferred from the initial…
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
Yilmazcan Ozyurt, Tunaberk Almaci, Stefan Feuerriegel +1
We introduce ExRec, a general framework for personalized exercise recommendation with semantically-grounded knowledge tracing. Our method builds on the observation that existing ex…