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20232026
most citedEvaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks

1 citations · 2 across the 13 of their papers we have counts for

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cs.IR2026

Rubric-Calibrated Preferences: Cross-Query Calibration of LLM Judgments via Item Response Theory

Fabian David Schmidt, Donato Crisostomi, Carlos Lassance +1

Rerankers decide which documents users and LLMs see, yet their standard metric, nDCG, relies on human relevance labels that are costly, sparse, noisy, and discretely graded. As rer…

cs.IR2024★ 1 cited

News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation

Andreea Iana, Fabian David Schmidt, Goran Glavaš +1

Rapidly growing numbers of multilingual news consumers pose an increasing challenge to news recommender systems in terms of providing customized recommendations. First, existing ne…