Cover Image

FactCHD: Benchmarking Fact-Conflicting Hallucination Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Xiang, Song, Duanzheng, Gui, Honghao, Wang, Chenxi, Zhang, Ningyu, Jiang, Yong, Huang, Fei, Lv, Chengfei, Zhang, Dan, Chen, Huajun
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Making Language Models Better Tool Learners with Execution Feedback
by: Qiao, Shuofei, et al.
Published: (2023)

CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs
by: Fang, Jizhan, et al.
Published: (2024)

Unified Hallucination Detection for Multimodal Large Language Models
by: Chen, Xiang, et al.
Published: (2024)

Towards Unification of Hallucination Detection and Fact Verification for Large Language Models
by: Su, Weihang, et al.
Published: (2025)

IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus
by: Gui, Honghao, et al.
Published: (2024)

ViFactCheck: A New Benchmark Dataset and Methods for Multi-domain News Fact-Checking in Vietnamese
by: Hoa, Tran Thai, et al.
Published: (2024)

Temporal Fact Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN
by: Dey, Ritajit, et al.
Published: (2026)

InstructIE: A Bilingual Instruction-based Information Extraction Dataset
by: Gui, Honghao, et al.
Published: (2023)

Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
by: Ge, Ziyu, et al.
Published: (2025)

A Benchmark for Open-Domain Numerical Fact-Checking Enhanced by Claim Decomposition
by: Venktesh, V, et al.
Published: (2025)

RaFe: Ranking Feedback Improves Query Rewriting for RAG
by: Mao, Shengyu, et al.
Published: (2024)

VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records
by: Chung, Philip, et al.
Published: (2025)

WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
by: Wang, Peng, et al.
Published: (2024)

EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
by: Ou, Yixin, et al.
Published: (2024)

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
by: Xi, Zekun, et al.
Published: (2025)

DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent
by: Chen, Chuer, et al.
Published: (2025)

Combining Evidence and Reasoning for Biomedical Fact-Checking
by: Barone, Mariano, et al.
Published: (2025)

Scaling Generalist Data-Analytic Agents
by: Qiao, Shuofei, et al.
Published: (2025)

CodeKGC: Code Language Model for Generative Knowledge Graph Construction
by: Bi, Zhen, et al.
Published: (2023)

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
by: Roitero, Kevin, et al.
Published: (2025)

OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
by: Zhang, Jintian, et al.
Published: (2024)

+VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checking
by: Deng, Xingyu, et al.
Published: (2025)

VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking
by: Rothermel, Mark, et al.
Published: (2026)

From Data to Behavior: Predicting Unintended Model Behaviors Before Training
by: Wang, Mengru, et al.
Published: (2026)

MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
by: Wang, Chenxi, et al.
Published: (2024)

SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
by: Peng, Qiwei, et al.
Published: (2025)

Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs
by: Steinigen, Daniel, et al.
Published: (2024)

The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
by: Pradeep, Ronak, et al.
Published: (2025)

From Facts to Conclusions : Integrating Deductive Reasoning in Retrieval-Augmented LLMs
by: Mishra, Shubham, et al.
Published: (2025)

Exploring Multidimensional Checkworthiness: Designing AI-assisted Claim Prioritization for Human Fact-checkers
by: Liu, Houjiang, et al.
Published: (2024)

CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
by: Yao, Yunzhi, et al.
Published: (2025)

FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection
by: Araya, Daniel Berhane, et al.
Published: (2025)

From Verification to Amplification: Auditing Reverse Image Search as Algorithmic Gatekeeping in Visual Misinformation Fact-checking
by: Lin, Cong, et al.
Published: (2026)

FIRE: Fact-checking with Iterative Retrieval and Verification
by: Xie, Zhuohan, et al.
Published: (2024)

LightThinker++: From Reasoning Compression to Memory Management
by: Zhu, Yuqi, et al.
Published: (2026)

Hallucination Detection and Evaluation of Large Language Model
by: Zhang, Chenggong, et al.
Published: (2025)

Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms
by: Wang, Mengru, et al.
Published: (2025)

Knowledge Circuits in Pretrained Transformers
by: Yao, Yunzhi, et al.
Published: (2024)

Credible, Unreliable or Leaked?: Evidence Verification for Enhanced Automated Fact-checking
by: Chrysidis, Zacharias, et al.
Published: (2024)

Use of Retrieval-Augmented Large Language Model Agent for Long-Form COVID-19 Fact-Checking
by: Huang, Jingyi, et al.
Published: (2025)