Cover Image

Synthetic Lyrics Detection Across Languages and Genres

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Labrak, Yanis, Frohmann, Markus, Meseguer-Brocal, Gabriel, Epure, Elena V.
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AI-Generated Song Detection via Lyrics Transcripts
by: Frohmann, Markus, et al.
Published: (2025)

Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion
by: Frohmann, Markus, et al.
Published: (2025)

A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks
by: Labrak, Yanis, et al.
Published: (2023)

How Important Is Tokenization in French Medical Masked Language Models?
by: Labrak, Yanis, et al.
Published: (2024)

BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
by: Labrak, Yanis, et al.
Published: (2024)

Scalable Music Cover Retrieval Using Lyrics-Aligned Audio Embeddings
by: Affolter, Joanne, et al.
Published: (2026)

Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
by: Frohmann, Markus, et al.
Published: (2024)

ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale
by: Frohmann, Markus, et al.
Published: (2023)

An Empirical Analysis of Discrete Unit Representations in Speech Language Modeling Pre-training
by: Labrak, Yanis, et al.
Published: (2025)

DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain
by: Labrak, Yanis, et al.
Published: (2024)

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking
by: Magomere, Jabez, et al.
Published: (2025)

SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation
by: Burdisso, Sergio, et al.
Published: (2025)

Learning Linearity in Audio Consistency Autoencoders via Implicit Regularization
by: Torres, Bernardo, et al.
Published: (2025)

Artificial Conversations, Real Results: Fostering Language Detection with Synthetic Data
by: Mohammadi, Fatemeh, et al.
Published: (2025)

LyriCAR: A Difficulty-Aware Curriculum Reinforcement Learning Framework For Controllable Lyric Translation
by: Ren, Le, et al.
Published: (2025)

Socially Aware Synthetic Data Generation for Suicidal Ideation Detection Using Large Language Models
by: Ghanadian, Hamideh, et al.
Published: (2024)

Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting
by: Li, Yufei, et al.
Published: (2025)

Out-of-Distribution Detection using Synthetic Data Generation
by: Abbas, Momin, et al.
Published: (2025)

Long Chain-of-Thought Reasoning Across Languages
by: Barua, Josh, et al.
Published: (2025)

Team QUST at SemEval-2023 Task 3: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting Online News Genre, Framing and Persuasion Techniques
by: Jiang, Ye
Published: (2023)

Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization
by: Masoudian, Shahed, et al.
Published: (2024)

Why Do Safety Guardrails Degrade Across Languages?
by: Zhang, Max, et al.
Published: (2026)

Zero-Shot End-To-End Spoken Question Answering In Medical Domain
by: Labrak, Yanis, et al.
Published: (2024)

Automatic Time Signature Determination for New Scores Using Lyrics for Latent Rhythmic Structure
by: Liao, Callie C., et al.
Published: (2023)

CodecLM: Aligning Language Models with Tailored Synthetic Data
by: Wang, Zifeng, et al.
Published: (2024)

PSK@EEUCA 2026: Fine-Tuning Large Language Models with Synthetic Data Augmentation for Multi-Class Toxicity Detection in Gaming Chat
by: Pulipaka, Srikar Kashyap
Published: (2026)

Atlas-Alignment: Making Interpretability Transferable Across Language Models
by: Puri, Bruno, et al.
Published: (2025)

Mercury: Ultra-Fast Language Models Based on Diffusion
by: Labs, Inception, et al.
Published: (2025)

Fill In The Gaps: Model Calibration and Generalization with Synthetic Data
by: Ba, Yang, et al.
Published: (2024)

Synthetic vs. Gold: The Role of LLM Generated Labels and Data in Cyberbullying Detection
by: Kazemi, Arefeh, et al.
Published: (2025)

Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
by: Li, Zihao, et al.
Published: (2024)

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models
by: Ali, Mehdi, et al.
Published: (2025)

Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
by: Ulm, Jannek, et al.
Published: (2025)

Interactions Across Blocks in Post-Training Quantization of Large Language Models
by: Shabanovi, Khasmamad, et al.
Published: (2024)

DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
by: Zhou, Ying, et al.
Published: (2024)

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation
by: Zhu, Alan, et al.
Published: (2025)

DIVERS-Bench: Evaluating Language Identification Across Domain Shifts and Code-Switching
by: Ojo, Jessica, et al.
Published: (2025)

Principled Detection of Hallucinations in Large Language Models via Multiple Testing
by: Li, Jiawei, et al.
Published: (2025)

How Bad is Training on Synthetic Data? A Statistical Analysis of Language Model Collapse
by: Seddik, Mohamed El Amine, et al.
Published: (2024)

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models
by: Havrilla, Alex, et al.
Published: (2024)