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Embedding Models Measure in Peculiar Ways
Juri Opitz, Andrianos Michail
Embedding spaces define notions of semantic similarity and distance. We study whether those embeddings reflect physical measurements of mass, distance, time and volume, which admit…
ALEE: Any-Language Evaluation of Embeddings via English-Centric Minimal Pairs
Andrianos Michail, Stylianos Psychias, Michelle Wastl +3
Text embeddings are standard for semantic similarity tasks, yet their evaluation remains an open challenge. Current benchmarks are static, cover only a limited set of languages, ar…
Exploring Dowker Homology for Sentence Similarity
Marius Huber, Juri Opitz
Dowker homology is a topological tool that may be used to analyze the relative position of two point clouds living in a common space. We investigate whether Dowker homology capture…
ICDAR 2026 HIPE-OCRepair Competition on LLM-Assisted OCR Post-Correction for Historical Documents
Maud Ehrmann, Emanuela Boros, Juri Opitz +3
We present the results of HIPE-OCRepair-2026, an ICDAR competition on LLM-assisted OCR post-correction of historical documents. OCR post-correction remains a long-standing challeng…
Overview of HIPE-2026: Person-Place Relation Extraction from Multilingual Historical Texts
Juri Opitz, Maud Ehrmann, Corina Raclé +3
Was this person ever at that place, and if so, when? Answering such questions from noisy, multilingual historical documents is the central challenge of HIPE-2026, the third edition…
Attention Calibration for Position-Fair Dense Retrieval
Andrianos Michail, Elias Schuhmacher, Juri Opitz +2
Dense retrieval compresses a passage into a single vector, but this compression is positionally skewed: early content dominates the embedding, and retrieval degrades when the relev…
CLEF HIPE-2026: Evaluating Accurate and Efficient Person-Place Relation Extraction from Multilingual Historical Texts
Juri Opitz, Corina Raclé, Emanuela Boros +4
HIPE-2026 is a CLEF evaluation lab dedicated to person-place relation extraction from noisy, multilingual historical texts. Building on the HIPE-2020 and HIPE-2022 campaigns, it ex…
Information Representation Fairness in Long-Document Embeddings: The Peculiar Interaction of Positional and Language Bias
Elias Schuhmacher, Andrianos Michail, Juri Opitz +2
To be discoverable in an embedding-based search process, each part of a document should be reflected in its embedding representation. To quantify any potential reflection biases, w…