Image de couverture de livre

Multilingual and Multi-topical Benchmark of Fine-tuned Language models and Large Language Models for Check-Worthy Claim Detection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hyben, Martin, Kula, Sebastian, Srba, Ivan, Moro, Robert, Simko, Jakub
Format:	Preprint
Publié:	2023
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models
par: Hyben, Martin, et autres
Publié: (2026)

A Generative-AI-Driven Claim Retrieval System Capable of Detecting and Retrieving Claims from Social Media Platforms in Multiple Languages
par: Vykopal, Ivan, et autres
Publié: (2025)

Multilingual Previously Fact-Checked Claim Retrieval
par: Pikuliak, Matúš, et autres
Publié: (2023)

Multilingual Models for Check-Worthy Social Media Posts Detection
par: Kula, Sebastian, et autres
Publié: (2024)

Large Language Models for Multilingual Previously Fact-Checked Claim Detection
par: Vykopal, Ivan, et autres
Publié: (2025)

Increasing the Robustness of the Fine-tuned Multilingual Machine-Generated Text Detectors
par: Macko, Dominik, et autres
Publié: (2025)

MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts
par: Macko, Dominik, et autres
Publié: (2024)

SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
par: Peng, Qiwei, et autres
Publié: (2025)

Investigating Language and Retrieval Bias in Multilingual Previously Fact-Checked Claim Detection
par: Vykopal, Ivan, et autres
Publié: (2025)

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
par: Macko, Dominik, et autres
Publié: (2023)

Authorship Obfuscation in Multilingual Machine-Generated Text Detection
par: Macko, Dominik, et autres
Publié: (2024)

Disinformation Capabilities of Large Language Models
par: Vykopal, Ivan, et autres
Publié: (2023)

PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models
par: Belanec, Robert, et autres
Publié: (2025)

Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
par: Pecher, Branislav, et autres
Publié: (2026)

Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
par: Pecher, Branislav, et autres
Publié: (2024)

RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets
par: Cegin, Jan, et autres
Publié: (2025)

Generative Large Language Models in Automated Fact-Checking: A Survey
par: Vykopal, Ivan, et autres
Publié: (2024)

Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines?
par: Majer, Laura, et autres
Publié: (2024)

Multilingual vs Crosslingual Retrieval of Fact-Checked Claims: A Tale of Two Approaches
par: Ramponi, Alan, et autres
Publié: (2025)

Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data
par: Ivanov, Petar, et autres
Publié: (2023)

Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
par: Cegin, Jan, et autres
Publié: (2024)

Autonomation, Not Automation: Activities and Needs of European Fact-checkers as a Basis for Designing Human-Centered AI Systems
par: Hrckova, Andrea, et autres
Publié: (2022)

HYBRINFOX at CheckThat! 2024 -- Task 1: Enhancing Language Models with Structured Information for Check-Worthiness Estimation
par: Faye, Géraud, et autres
Publié: (2024)

Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation for Classification
par: Cegin, Jan, et autres
Publié: (2024)

mdok-style at SemEval-2026 Task 9: Finetuning LLMs for Multilingual Polarization Detection
par: Macko, Dominik, et autres
Publié: (2026)

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark
par: Belanec, Robert, et autres
Publié: (2025)

BLUFF: Benchmarking the Detection of False and Synthetic Content across 58 Low-Resource Languages
par: Lucas, Jason, et autres
Publié: (2026)

Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection
par: Xiong, Feng, et autres
Publié: (2024)

Authorship Attribution in Multilingual Machine-Generated Texts
par: La Cava, Lucio, et autres
Publié: (2025)

MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters
par: Panchendrarajan, Rrubaa, et autres
Publié: (2025)

ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims
par: Anik, Anirban Saha, et autres
Publié: (2025)

UNH at CheckThat! 2025: Fine-tuning Vs Prompting in Claim Extraction
par: Wilder, Joe, et autres
Publié: (2025)

Automated Fact-Checking of Climate Change Claims with Large Language Models
par: Leippold, Markus, et autres
Publié: (2024)

Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning
par: Hu, Tianxiang, et autres
Publié: (2024)

ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread
par: Vasilakes, Jake, et autres
Publié: (2024)

UWBa at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
par: Lenc, Ladislav, et autres
Publié: (2025)

ClaimCheck: Real-Time Fact-Checking with Small Language Models
par: Putta, Akshith Reddy, et autres
Publié: (2025)

Soft Language Prompts for Language Transfer
par: Vykopal, Ivan, et autres
Publié: (2024)

Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering
par: Panchendrarajan, Rrubaa, et autres
Publié: (2026)

Application and Optimization of Large Models Based on Prompt Tuning for Fact-Check-Worthiness Estimation
par: Yu, Yinglong, et autres
Publié: (2025)