activity
20242026
most citedImproving Quotation Attribution with Fictional Character Embeddings

2 citations · 2 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

7 papers · 1 filter

cs.CL2026

Learning New Facts with QLoRA: An Acquisition-Retention Frontier

Estelle Zheng, Sébastien Warichet, Emmanuel Helbert +1

Parameter-efficient fine-tuning is often assumed to preserve pretrained capabilities because it updates only a small number of parameters. We show that this assumption depends stro…

cs.LG2026

Across the Loss Landscape with Progressive Growth

Paul Caillon, Christophe Cerisara, Alexandre Allauzen

Deep neural networks generalize well despite their highly nonconvex, overparameterized loss landscapes, a phenomenon often associated with the geometry of the minima found by stoch…

cs.LG2026

Benchmarking Generalization in Financial Statement Fraud Detection: robust evaluation and novel tasks

Guy Stephane Waffo Dzuyo, Gaël Guibon, Christophe Cerisara +1

Financial statement fraud detection (FSFD) is crucial for market integrity but faces challenges from increasingly sophisticated schemes and under-utilized textual data in financial…

cs.CL2026

Large Language Models for Citation Function Classification

Daniel Vodička, Jakub Šmíd, Pavel Král +1

Citation function classification plays a crucial role in understanding the relationships between scientific publications and advancing bibliometric analysis. This study presents on…

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.CL2026

Cross-lingual Matryoshka Representation Learning across Speech and Text

Yaya Sy, Dioula Doucouré, Christophe Cerisara +1

Speakers of under-represented languages face both a language barrier, as most online knowledge is in a few dominant languages, and a modality barrier, since information is largely…