Cover Image

AIC CTU system at AVeriTeC: Re-framing automated fact-checking as a simple RAG task

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ullrich, Herbert, Mlynář, Tomáš, Drchal, Jan
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

AIC CTU@AVerImaTeC: dual-retriever RAG for image-text fact checking
by: Ullrich, Herbert, et al.
Published: (2026)

AIC CTU@FEVER 8: On-premise fact checking through long context RAG
by: Ullrich, Herbert, et al.
Published: (2025)

Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language
by: Drchal, Jan, et al.
Published: (2023)

Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics
by: Ullrich, Herbert, et al.
Published: (2025)

The Automated Verification of Textual Claims (AVeriTeC) Shared Task
by: Schlichtkrull, Michael, et al.
Published: (2024)

Team HUMANE at AVeriTeC 2025: HerO 2 for Efficient Fact Verification
by: Yoon, Yejun, et al.
Published: (2025)

HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims
by: Yoon, Yejun, et al.
Published: (2024)

Evaluating open-source Large Language Models for automated fact-checking
by: Fontana, Nicolo', et al.
Published: (2025)

FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking
by: Setty, Vinay
Published: (2024)

Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine
by: Joseph, Sebastian, et al.
Published: (2025)

Can LLMs extract human-like fine-grained evidence for evidence-based fact-checking?
by: Jarolím, Antonín, et al.
Published: (2025)

fact check AI at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-checked Claim Retrieval
by: Rastogi, Pranshu
Published: (2025)

QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims
by: V, Venktesh, et al.
Published: (2024)

Lost in translation: using global fact-checks to measure multilingual misinformation prevalence, spread, and evolution
by: Quelle, Dorian, et al.
Published: (2023)

Truth Sleuth and Trend Bender: AI Agents to fact-check YouTube videos and influence opinions
by: Logé, Cécile, et al.
Published: (2025)

KohakuRAG: A simple RAG framework with hierarchical document indexing
by: Yeh, Shih-Ying, et al.
Published: (2026)

Assessing the quality of information extraction
by: Seitl, Filip, et al.
Published: (2024)

Semi-automated Fact-checking in Portuguese: Corpora Enrichment using Retrieval with Claim extraction
by: Gomes, Juliana Resplande Sant'anna, et al.
Published: (2025)

Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains
by: Saxena, Yash, et al.
Published: (2025)

What do people want to fact-check?
by: Ghafouri, Bijean, et al.
Published: (2026)

How Reliable are LLMs for Reasoning on the Re-ranking task?
by: Islam, Nafis Tanveer, et al.
Published: (2025)

Scalable Fact-checking with Human-in-the-Loop
by: Yang, Jing, et al.
Published: (2021)

Automatic Fact-checking in English and Telugu
by: Chikkala, Ravi Kiran, et al.
Published: (2025)

Fact-checking with Generative AI: A Systematic Cross-Topic Examination of LLMs Capacity to Detect Veracity of Political Information
by: Kuznetsova, Elizaveta, et al.
Published: (2025)

Misinformation as a harm: structured approaches for fact-checking prioritization
by: Sehat, Connie Moon, et al.
Published: (2023)

Multi-task retriever fine-tuning for domain-specific and efficient RAG
by: Béchard, Patrice, et al.
Published: (2025)

Factuality and Transparency Are All RAG Needs! Self-Explaining Contrastive Evidence Re-ranking
by: Vargas, Francielle, et al.
Published: (2025)

Module checking of pushdown multi-agent systems
by: Bozzelli, Laura, et al.
Published: (2020)

SiReRAG: Indexing Similar and Related Information for Multihop Reasoning
by: Zhang, Nan, et al.
Published: (2024)

Logical Consistency of Large Language Models in Fact-checking
by: Ghosh, Bishwamittra, et al.
Published: (2024)

Analysis of child development facts and myths using text mining techniques and classification models
by: Tajrian, Mehedi, et al.
Published: (2024)

Evaluation of LLMs in retrieving food and nutritional context for RAG systems
by: Vavken, Maks Požarnik, et al.
Published: (2026)

Swiss Parliaments Corpus Re-Imagined (SPC_R): Enhanced Transcription with RAG-based Correction and Predicted BLEU
by: Timmel, Vincenzo, et al.
Published: (2025)

FAQ-Gen: An automated system to generate domain-specific FAQs to aid content comprehension
by: Kale, Sahil, et al.
Published: (2024)

A Reality check of the benefits of LLM in business
by: Cheung, Ming
Published: (2024)

Explainable Fact-checking through Question Answering
by: Yang, Jing, et al.
Published: (2021)

Not all ANIMALs are equal: metaphorical framing through source domains and semantic frames
by: Otmakhova, Yulia, et al.
Published: (2026)

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

FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval
by: Wang, Jinlin, et al.
Published: (2024)

The Perils & Promises of Fact-checking with Large Language Models
by: Quelle, Dorian, et al.
Published: (2023)