Author

S. Vollmer

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#artificial intelligence Preprint Sep 2026

Challenges and Solutions for Bandits in the Wild: Warm-Started Mixture Bandits for Cross-Cohort Slate Recommendation

Many recommender services repeatedly encounter cold-start cohorts, where new users arrive with little or no interaction history. This creates two challenges: learning user preferences quickly from limited feedback and sustaining useful recommendations when each user has a finite catalog that can become repetitive or de...

Serafima Lebedeva, Sumantrak Mukherjee, Ali Arshad Sadal et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Accounting for Bias Enables Sustainable LLM Evaluation

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 comparisons, an approach that is both statistically unsound and computationally wasteful. The root cause is an incomplete measurement model, treat...

H. Katoch, D. A. Selby, Gerrit Großmann et al. · 0 citations