activity
20242026
most citedJust Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation

5 citations · 8 across the 15 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CL2026

Fast and Accurate Quotation Attribution in Literary Texts

Gaspard Michel, Hugo Attali, Elena V. Epure

Attributing quotations to their speakers in literary texts remains an open challenge. Standard methods, which independently predict a speaker mention for each quotation, are effici…

cs.IR2026★ 1 cited

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

Seungheon Doh, Bruno Sguerra, Sergio Oramas +2

Conversational Recommendation Systems (CRS) aim to achieve two primary objectives: recommending relevant items and generating natural language responses. While recommendation accur…

cs.CL2026

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

Gaspard Michel, Elena V. Epure, Romain Hennequin +2

Methods to represent literary texts as graphs or sequences of graphs mainly focus on representing character interactions, and often overlook another crucial aspect: the textual con…

cs.CL2026

S-VoCAL: A Dataset and Evaluation Framework for Inferring Speaking Voice Character Attributes in Literature

Abigail Berthe-Pardo, Gaspard Michel, Elena V. Epure +1

With recent advances in Text-to-Speech (TTS) systems, synthetic audiobook narration has seen increased interest, reaching unprecedented levels of naturalness. However, larger gaps…

cs.SD2026

Beyond Musical Descriptors: Extracting Preference-Bearing Intent in Music Queries

Marion Baranes, Romain Hennequin, Elena V. Epure

Although annotated music descriptor datasets for user queries are increasingly common, few consider the user's intent behind these descriptors, which is essential for effectively m…

cs.SD2026

Scalable Music Cover Retrieval Using Lyrics-Aligned Audio Embeddings

Joanne Affolter, Benjamin Martin, Elena V. Epure +2

Music Cover Retrieval, also known as Version Identification, aims to recognize distinct renditions of the same underlying musical work, a task central to catalog management, copyri…