5 papers · 1 filter
Accounting for Bias Enables Sustainable LLM Evaluation
Harshita Katoch, David Antony Selby, Gerrit Großmann +1
LLM-as-a-judge has become the de facto standard for scalable, subjective evaluation, yet current leaderboards compensate for systematic measurement bias by running ever more compar…
Orca: Neural Operators for Causal Reasoning in Continuous Time
Gerrit Großmann, David A. Selby, Sebastian J. Vollmer
Structural causal models are the standard language for reasoning about interventions and counterfactuals, but they describe static variables, typically measured once, and usually f…
MEDAKA: Construction of Biomedical Knowledge Graphs Using Large Language Models
Asmita Sengupta, David Antony Selby, Sebastian Josef Vollmer +1
Knowledge graphs (KGs) are increasingly used to represent biomedical information in structured, interpretable formats. However, existing biomedical KGs often focus narrowly on mole…
BioDisco: Multi-agent hypothesis generation with dual-mode evidence, iterative feedback and temporal evaluation
Yujing Ke, Kevin George, Kathan Pandya +5
Identifying novel hypotheses is essential to scientific research, yet this process risks being overwhelmed by the sheer volume and complexity of available information. Existing aut…
The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete
Gerrit Großmann, Larisa Ivanova, Sai Leela Poduru +4
According to Yuval Noah Harari, large-scale human cooperation is driven by shared narratives that encode common beliefs and values. This study explores whether such narratives can…