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Elena V. Epure

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Preprint Aug 2026

Fast and Accurate Quotation Attribution in Literary Texts

An encoder-based efficient formulation that resolves multiple quotation attributions within a shared, large context window is proposed, and an analysis of models'representations suggests that joint scoring improves on challenging attribution examples by preserving long-range anaphora resolution signal, an information t...

Gaspard Michel, Hugo Attali, Elena V. Epure · 0 citations
#machine learning Conference Jan 2026

Scalable Music Cover Retrieval Using Lyrics-Aligned Audio Embeddings

LIVI (Lyrics-Informed Version Identification), an approach that seeks to balance retrieval accuracy with computational efficiency, is introduced that leverages supervision from state-of-the-art transcription and text embedding models during training to achieve retrieval accuracy on par with--or superior to--harmonic-ba...

J. Affolter, Benjamin Martin, Elena V. Epure et al. · 2 citations
Jul 2026

LLM-as-a-Judge for Evaluating System Responses in Conversational Music Recommendation

This paper presents the first user study to empirically assess the reliability of LLM-as-a-judge for evaluating CRS responses, and finds that LLM-based judges exhibit moderate positive alignment with human assessments and outperform all reference-based baselines.

Seungheon Doh, B. Sguerra, Sergio Oramas et al. · 0 citations

GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study

Dynamic Heterogeneous Character Networks are introduced, which organize long novels into temporally localized heterogeneous graphs that align characters with their textual contexts, and GraphLit is proposed, a self-supervised learning framework that learns rich literary representations through a masked graph autoencode...

Gaspard Michel, Elena V. Epure, Romain Hennequin et al. · 1 citation

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