Poly-FEVER: A Multilingual Fact Verification Benchmark for Hallucination Detection in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Hanzhi, Anjum, Sumera, Fan, Heng, Zheng, Weijian, Huang, Yan, Feng, Yunhe |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making
by: Anjum, Sumera, et al.
Published: (2024)
by: Anjum, Sumera, et al.
Published: (2024)
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration
by: Zhang, Hanzhi, et al.
Published: (2025)
by: Zhang, Hanzhi, et al.
Published: (2025)
Towards Unification of Hallucination Detection and Fact Verification for Large Language Models
by: Su, Weihang, et al.
Published: (2025)
by: Su, Weihang, et al.
Published: (2025)
Language Models Hallucinate, but May Excel at Fact Verification
by: Guan, Jian, et al.
Published: (2023)
by: Guan, Jian, et al.
Published: (2023)
Multi-Modal Fact-Verification Framework for Reducing Hallucinations in Large Language Models
by: Patel, Piyushkumar
Published: (2025)
by: Patel, Piyushkumar
Published: (2025)
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
by: Chen, Xiang, et al.
Published: (2023)
by: Chen, Xiang, et al.
Published: (2023)
Logical Consistency of Large Language Models in Fact-checking
by: Ghosh, Bishwamittra, et al.
Published: (2024)
by: Ghosh, Bishwamittra, et al.
Published: (2024)
Large Language Models for Multilingual Previously Fact-Checked Claim Detection
by: Vykopal, Ivan, et al.
Published: (2025)
by: Vykopal, Ivan, et al.
Published: (2025)
Multilingual Hallucination Gaps in Large Language Models
by: Chataigner, Cléa, et al.
Published: (2024)
by: Chataigner, Cléa, et al.
Published: (2024)
CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models
by: Nie, Ying, et al.
Published: (2024)
by: Nie, Ying, et al.
Published: (2024)
On Large Language Models' Hallucination with Regard to Known Facts
by: Jiang, Che, et al.
Published: (2024)
by: Jiang, Che, et al.
Published: (2024)
HIVE: Hidden-Evidence Verification for Hallucination Detection in Diffusion Large Language Models
by: Zhao, Guoshenghui, et al.
Published: (2026)
by: Zhao, Guoshenghui, et al.
Published: (2026)
Beyond Facts: Evaluating Intent Hallucination in Large Language Models
by: Hao, Yijie, et al.
Published: (2025)
by: Hao, Yijie, et al.
Published: (2025)
FactLens: Benchmarking Fine-Grained Fact Verification
by: Mitra, Kushan, et al.
Published: (2024)
by: Mitra, Kushan, et al.
Published: (2024)
Challenging Multilingual LLMs: A New Taxonomy and Benchmark for Unraveling Hallucination in Translation
by: Wu, Xinwei, et al.
Published: (2025)
by: Wu, Xinwei, et al.
Published: (2025)
Zero-Shot Fact Verification via Natural Logic and Large Language Models
by: Strong, Marek, et al.
Published: (2024)
by: Strong, Marek, et al.
Published: (2024)
OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models
by: Sun, Chongren, et al.
Published: (2025)
by: Sun, Chongren, et al.
Published: (2025)
Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models
by: Feng, Yijun
Published: (2025)
by: Feng, Yijun
Published: (2025)
Mitigating Multilingual Hallucination in Large Vision-Language Models
by: Qu, Xiaoye, et al.
Published: (2024)
by: Qu, Xiaoye, et al.
Published: (2024)
ClaimDB: A Fact Verification Benchmark over Large Structured Data
by: Theologitis, Michael, et al.
Published: (2026)
by: Theologitis, Michael, et al.
Published: (2026)
How Do Multilingual Language Models Remember Facts?
by: Fierro, Constanza, et al.
Published: (2024)
by: Fierro, Constanza, et al.
Published: (2024)
MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts
by: He, Jiayi, et al.
Published: (2025)
by: He, Jiayi, et al.
Published: (2025)
Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
by: Cao, Han, et al.
Published: (2025)
by: Cao, Han, et al.
Published: (2025)
MUCH: A Multilingual Claim Hallucination Benchmark
by: Dentan, Jérémie, et al.
Published: (2025)
by: Dentan, Jérémie, et al.
Published: (2025)
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
by: Yang, Shuo, et al.
Published: (2025)
by: Yang, Shuo, et al.
Published: (2025)
Hallucination Detection and Evaluation of Large Language Model
by: Zhang, Chenggong, et al.
Published: (2025)
by: Zhang, Chenggong, et al.
Published: (2025)
Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding
by: Wang, Chao, et al.
Published: (2025)
by: Wang, Chao, et al.
Published: (2025)
RefChecker: Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models
by: Hu, Xiangkun, et al.
Published: (2024)
by: Hu, Xiangkun, et al.
Published: (2024)
FactCheckmate: Preemptively Detecting and Mitigating Hallucinations in LMs
by: Alnuhait, Deema, et al.
Published: (2024)
by: Alnuhait, Deema, et al.
Published: (2024)
Investigating Language and Retrieval Bias in Multilingual Previously Fact-Checked Claim Detection
by: Vykopal, Ivan, et al.
Published: (2025)
by: Vykopal, Ivan, et al.
Published: (2025)
CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention
by: Ye, Zekai, et al.
Published: (2025)
by: Ye, Zekai, et al.
Published: (2025)
A Graph-based Verification Framework for Fact-Checking
by: Huang, Yani, et al.
Published: (2025)
by: Huang, Yani, et al.
Published: (2025)
Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models
by: Fan, Yuchun, et al.
Published: (2025)
by: Fan, Yuchun, et al.
Published: (2025)
Unsupervised Pretraining for Fact Verification by Language Model Distillation
by: Bazaga, Adrián, et al.
Published: (2023)
by: Bazaga, Adrián, et al.
Published: (2023)
AlignX: Advancing Multilingual Large Language Models with Multilingual Representation Alignment
by: Bu, Mengyu, et al.
Published: (2025)
by: Bu, Mengyu, et al.
Published: (2025)
Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models
by: Zhang, Yuji, et al.
Published: (2024)
by: Zhang, Yuji, et al.
Published: (2024)
Prompt-Guided Internal States for Hallucination Detection of Large Language Models
by: Zhang, Fujie, et al.
Published: (2024)
by: Zhang, Fujie, et al.
Published: (2024)
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Towards Comprehensive Stage-wise Benchmarking of Large Language Models in Fact-Checking
by: Lin, Hongzhan, et al.
Published: (2026)
by: Lin, Hongzhan, et al.
Published: (2026)
ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification
by: Luu, Son T., et al.
Published: (2024)
by: Luu, Son T., et al.
Published: (2024)
Similar Items
-
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making
by: Anjum, Sumera, et al.
Published: (2024) -
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration
by: Zhang, Hanzhi, et al.
Published: (2025) -
Towards Unification of Hallucination Detection and Fact Verification for Large Language Models
by: Su, Weihang, et al.
Published: (2025) -
Language Models Hallucinate, but May Excel at Fact Verification
by: Guan, Jian, et al.
Published: (2023) -
Multi-Modal Fact-Verification Framework for Reducing Hallucinations in Large Language Models
by: Patel, Piyushkumar
Published: (2025)