Cover Image

FactFinders at CheckThat! 2024: Refining Check-worthy Statement Detection with LLMs through Data Pruning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yufeng, Panchendrarajan, Rrubaa, Zubiaga, Arkaitz
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering
by: Panchendrarajan, Rrubaa, et al.
Published: (2026)

MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters
by: Panchendrarajan, Rrubaa, et al.
Published: (2025)

Entity-aware Cross-lingual Claim Detection for Automated Fact-checking
by: Panchendrarajan, Rrubaa, et al.
Published: (2025)

Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research
by: Panchendrarajan, Rrubaa, et al.
Published: (2024)

ContextClaim: A Context-Driven Paradigm for Verifiable Claim Detection
by: Li, Yufeng, et al.
Published: (2026)

Synergizing Machine Learning & Symbolic Methods: A Survey on Hybrid Approaches to Natural Language Processing
by: Panchendrarajan, Rrubaa, et al.
Published: (2024)

MultiCaption: Detecting disinformation using multilingual visual claims
by: Frade, Rafael Martins, et al.
Published: (2026)

BiCon-Gate: Consistency-Gated De-colloquialisation for Dialogue Fact-Checking
by: Park, Hyunkyung, et al.
Published: (2026)

The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking
by: Struß, Julia Maria, et al.
Published: (2026)

When Hate Meets Facts: LLMs-in-the-Loop for Check-worthiness Detection in Hate Speech
by: Ocampo, Nicolás Benjamín, et al.
Published: (2026)

RAVE: Retrieval and Scoring Aware Verifiable Claim Detection
by: Li, Yufeng, et al.
Published: (2025)

Supporting Automated Fact-checking across Topics: Similarity-driven Gradual Topic Learning for Claim Detection
by: Abumansour, Amani S., et al.
Published: (2024)

Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking
by: Pisarevskaya, Dina, et al.
Published: (2025)

FineDialFact: A benchmark for Fine-grained Dialogue Fact Verification
by: Chen, Xiangyan, et al.
Published: (2025)

The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval
by: Alam, Firoj, et al.
Published: (2025)

IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim Detection
by: Aarnes, Peter Røysland, et al.
Published: (2024)

OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation
by: Lewoniewski, Włodzimierz, et al.
Published: (2024)

DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact Verification
by: Heil, Maximilian, et al.
Published: (2025)

ID-XCB: Data-independent Debiasing for Fair and Accurate Transformer-based Cyberbullying Detection
by: Yi, Peiling, et al.
Published: (2024)

Nullpointer at CheckThat! 2024: Identifying Subjectivity from Multilingual Text Sequence
by: Biswas, Md. Rafiul, et al.
Published: (2024)

HYBRINFOX at CheckThat! 2024 -- Task 1: Enhancing Language Models with Structured Information for Check-Worthiness Estimation
by: Faye, Géraud, et al.
Published: (2024)

Agent-based Automated Claim Matching with Instruction-following LLMs
by: Pisarevskaya, Dina, et al.
Published: (2025)

Zero-shot Cross-lingual Stance Detection via Adversarial Language Adaptation
by: A, Bharathi, et al.
Published: (2024)

Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges
by: Jiang, Aiqi, et al.
Published: (2024)

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
by: Tang, Liyan, et al.
Published: (2024)

CEA-LIST at CheckThat! 2025: Evaluating LLMs as Detectors of Bias and Opinion in Text
by: Elbouanani, Akram, et al.
Published: (2025)

Crisis talk: analysis of the public debate around the energy crisis and cost of living
by: Panchendrarajan, Rrubaa, et al.
Published: (2024)

InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs
by: Bai, Yuzhuo, et al.
Published: (2026)

NAU-QMUL: Utilizing BERT and CLIP for Multi-modal AI-Generated Image Detection
by: Guo, Xiaoyu, et al.
Published: (2026)

HYBRINFOX at CheckThat! 2024 -- Task 2: Enriching BERT Models with the Expert System VAGO for Subjectivity Detection
by: Casanova, Morgane, et al.
Published: (2024)

DS@GT at CheckThat! 2025: Detecting Subjectivity via Transfer-Learning and Corrective Data Augmentation
by: Heil, Maximilian, et al.
Published: (2025)

DS@GT at CheckThat! 2025: Ensemble Methods for Detection of Scientific Discourse on Social Media
by: Parikh, Ayush, et al.
Published: (2025)

Understanding the Effects of Human-written Paraphrases in LLM-generated Text Detection
by: Lau, Hiu Ting, et al.
Published: (2024)

ALPET: Active Few-shot Learning for Citation Worthiness Detection in Low-Resource Wikipedia Languages
by: Halitaj, Aida, et al.
Published: (2025)

ALHD: A Large-Scale and Multigenre Benchmark Dataset for Arabic LLM-Generated Text Detection
by: Khairallah, Ali, et al.
Published: (2025)

PolBiX: Detecting LLMs' Political Bias in Fact-Checking through X-phemisms
by: Jakob, Charlott, et al.
Published: (2025)

OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs
by: Wang, Yuxia, et al.
Published: (2024)

Towards Inclusive Toxic Content Moderation: Addressing Vulnerabilities to Adversarial Attacks in Toxicity Classifiers Tackling LLM-generated Content
by: Furniturewala, Shaz, et al.
Published: (2025)

How LLMs Fail to Support Fact-Checking
by: Proma, Adiba Mahbub, et al.
Published: (2025)

FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
by: Sawczyn, Albert, et al.
Published: (2025)