Papers by Damien Lolive
SocialForge: simulating the social internet to provide realistic training against influence operations (2025.acl-industry)
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Ulysse Oliveri, Guillaume Gadek, Alexandre Dey, Benjamin Costé, Damien Lolive, Arnaud Delhay, Bruno Grilheres
| Challenge: | Social media platforms have enabled large-scale influence campaigns, impacting democratic processes. |
| Approach: | They propose a system to enhance diversity and realism of the generated content while ensuring its adherence to the original scenario. |
| Outcome: | The proposed system improves diversity and realism while ensuring its adherence to the original scenario. |
Investigating Inter- and Intra-speaker Voice Conversion using Audiobooks (2022.lrec-1)
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| Challenge: | Audiobook readers play with their voices to emphasize some text passages, highlight discourse changes or significant events, or in order to make listening easier and entertaining. |
| Approach: | They propose to modify the narrator’s voice to fit the context of the story, such as the character who is speaking, using voice conversion. |
| Outcome: | The proposed method improves the quality of the voice conversion system and the speaker similarity. |
Style versus Content: A distinction without a (learnable) difference? (2020.coling-main)
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| Challenge: | Textual style transfer assumes that it is possible to separate style from content . however, style transfer can provide insight into language more generally . |
| Approach: | They propose to use sentiment transfer to examine whether style transfer is possible . they employ adversarial encoder-decoder networks to analyze style-related features . |
| Outcome: | The proposed method combines style transfer with content preservation and fluency to show that style cannot be usefully separated from content within style transfer systems. |
Paraphrase Generation Evaluation Powered by an LLM: A Semantic Metric, Not a Lexical One (2025.coling-main)
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| Challenge: | Existing measures for automatic paraphrase generation are based on lexical distances or semantic embedding alignments. |
| Approach: | They propose a measure based on a log likelihood ratio from an LLM to assess the quality of a potential paraphrase. |
| Outcome: | The proposed measure is better for sorting pairs of sentences by semantic proximity and provides an interpretable classification threshold between paraphrases and non-paraphrases. |
EMO&LY (EMOtion and AnomaLY) : A new corpus for anomaly detection in an audiovisual stream with emotional context. (L18-1)
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| Challenge: | Anomalies in discourse are induced or acted by a machine learning algorithm. |
| Approach: | They propose to use facial and speech video to create a corpus that contains controlled anomalies. |
| Outcome: | The proposed corpus contains controlled anomalies in speech and facial video recordings of subjects. |
SynPaFlex-Corpus: An Expressive French Audiobooks Corpus dedicated to expressive speech synthesis. (L18-1)
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| Challenge: | a French audiobooks corpus contains 87 hours of good audio quality speech . audiobooks provide mono-genre and multi-speaker speech whereas audiobooks usually provide a few hours of mono- and multispeakers . |
| Approach: | They present an expressive French audiobooks corpus containing eighty seven hours of speech . the corpus is annotated automatically and provides information as phone labels, phone boundaries, syllables, words or morpho-syntactic tagging. |
| Outcome: | The proposed corpus contains 87 hours of speech recorded by a single speaker . the data will allow developing models to better control expressiveness in speech synthesis . |
A Low-Cost Motion Capture Corpus in French Sign Language for Interpreting Iconicity and Spatial Referencing Mechanisms (2022.lrec-1)
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| Challenge: | Existing tools for automatic translation of sign language videos into transcribed texts are limited. |
| Approach: | They propose to use deep learning methods to circumvent the use of models in spatial referencing recognition by a 3D skeleton and a software program to capture and post-process the LSF-SHELVES corpus. |
| Outcome: | The proposed system targets iconicity and spatial referencing in french sign language . it is light-weight and low-cost to collect data from a large panel of signers . |
When depth is redundant: Efficient transformer-based speech anti-spoofing (2026.findings-acl)
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| Challenge: | Existing anti-spoofing countermeasures exhibit limited generalization to unseen spoof attacks, especially in out-of-domain evaluation settings. |
| Approach: | They propose a training strategy that aligns shallow and intermediate representations with those of the final transformer layer for speech deepfake detection. |
| Outcome: | The proposed model improves robustness to unseen spoofing attacks and enhances out-of-domain generalization over strong baselines. |
Neural-Driven Search-Based Paraphrase Generation (2021.eacl-main)
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| Challenge: | Existing non-supervised paraphrase generation models are biased toward specific problems like question answering or image captioning. |
| Approach: | They propose a search-based paraphrase generation scheme where candidate paraphrases are generated by iterated transformations from the original sentence and evaluated in terms of syntax quality, semantic distance, and lexical distance. |
| Outcome: | The proposed algorithms perform well against non-supervised baselines. |