FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation
Fuente:
arXiv
Saved in:
| Main Authors: | Bayat, Farima Fatahi, Zhang, Lechen, Munir, Sheza, Wang, Lu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts
by: Liu, Xin, et al.
Published: (2025)
by: Liu, Xin, et al.
Published: (2025)
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding
by: Liu, Xin, et al.
Published: (2024)
by: Liu, Xin, et al.
Published: (2024)
From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models
by: Bayat, Farima Fatahi, et al.
Published: (2025)
by: Bayat, Farima Fatahi, et al.
Published: (2025)
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression
by: Bayat, Farima Fatahi, et al.
Published: (2024)
by: Bayat, Farima Fatahi, et al.
Published: (2024)
Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
by: Zhang, Yunxiang, et al.
Published: (2025)
by: Zhang, Yunxiang, et al.
Published: (2025)
Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
by: Zhang, Yunxiang, et al.
Published: (2025)
by: Zhang, Yunxiang, 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)
OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs
by: Wang, Yuxia, et al.
Published: (2024)
by: Wang, Yuxia, et al.
Published: (2024)
ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists
by: Ruan, Jie, et al.
Published: (2025)
by: Ruan, Jie, et al.
Published: (2025)
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence
by: Joseph, Sebastian Antony, et al.
Published: (2024)
by: Joseph, Sebastian Antony, et al.
Published: (2024)
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
by: Tran, Hieu, et al.
Published: (2024)
by: Tran, Hieu, et al.
Published: (2024)
Generating Benchmarks for Factuality Evaluation of Language Models
by: Muhlgay, Dor, et al.
Published: (2023)
by: Muhlgay, Dor, et al.
Published: (2023)
CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge
by: Zheng, Tianshi, et al.
Published: (2024)
by: Zheng, Tianshi, et al.
Published: (2024)
WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora
by: Wang, Pengyu, et al.
Published: (2026)
by: Wang, Pengyu, et al.
Published: (2026)
When Cow Urine Cures Constipation on YouTube: Limits of LLMs in Detecting Culture-specific Health Misinformation
by: Khan, Anamta, et al.
Published: (2026)
by: Khan, Anamta, et al.
Published: (2026)
Dharma, Data and Deception: An LLM-Powered Rhetorical Analysis of Cow-Urine Health Claims on YouTube
by: Munir, Sheza, et al.
Published: (2026)
by: Munir, Sheza, et al.
Published: (2026)
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
by: Wang, Yuxia, et al.
Published: (2023)
by: Wang, Yuxia, et al.
Published: (2023)
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
by: Wang, Shengkang, et al.
Published: (2024)
by: Wang, Shengkang, et al.
Published: (2024)
WildSpeech-Bench: Benchmarking End-to-End SpeechLLMs in the Wild
by: Zhang, Linhao, et al.
Published: (2025)
by: Zhang, Linhao, et al.
Published: (2025)
Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models
by: Rahman, Subhey Sadi, et al.
Published: (2025)
by: Rahman, Subhey Sadi, et al.
Published: (2025)
WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation
by: Ding, Shuangrui, et al.
Published: (2026)
by: Ding, Shuangrui, et al.
Published: (2026)
TrendFact: A Benchmark for Explainable Hotspot Perception in Fact-Checking with Natural Language Explanation
by: Zhang, Xiaocheng, et al.
Published: (2024)
by: Zhang, Xiaocheng, et al.
Published: (2024)
FactAlign: Long-form Factuality Alignment of Large Language Models
by: Huang, Chao-Wei, et al.
Published: (2024)
by: Huang, Chao-Wei, et al.
Published: (2024)
FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs
by: Munnangi, Monica, et al.
Published: (2024)
by: Munnangi, Monica, et al.
Published: (2024)
CommunityFact: A Dynamic, Multilingual, Multi-domain Benchmark for Misinformation Detection in the Wild
by: Singh, Sahajpreet, et al.
Published: (2026)
by: Singh, Sahajpreet, et al.
Published: (2026)
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs
by: Iqbal, Hasan, et al.
Published: (2024)
by: Iqbal, Hasan, et al.
Published: (2024)
FactNet: A Billion-Scale Knowledge Graph for Multilingual Factual Grounding
by: Shen, Yingli, et al.
Published: (2026)
by: Shen, Yingli, et al.
Published: (2026)
When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation
by: Jiang, Xunyi, et al.
Published: (2025)
by: Jiang, Xunyi, et al.
Published: (2025)
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models
by: Cheng, Xianfu, et al.
Published: (2025)
by: Cheng, Xianfu, et al.
Published: (2025)
MAVEN-Fact: A Large-scale Event Factuality Detection Dataset
by: Li, Chunyang, et al.
Published: (2024)
by: Li, Chunyang, et al.
Published: (2024)
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention
by: Wan, Yixin, et al.
Published: (2024)
by: Wan, Yixin, et al.
Published: (2024)
VarBench: Robust Language Model Benchmarking Through Dynamic Variable Perturbation
by: Qian, Kun, et al.
Published: (2024)
by: Qian, Kun, et al.
Published: (2024)
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
by: Marinescu, Radu, et al.
Published: (2025)
by: Marinescu, Radu, et al.
Published: (2025)
FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models
by: Wang, Yanling, et al.
Published: (2024)
by: Wang, Yanling, et al.
Published: (2024)
RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models
by: Satriani, Dario, et al.
Published: (2025)
by: Satriani, Dario, et al.
Published: (2025)
Skill-Aware Data Selection and Fine-Tuning for Data-Efficient Reasoning Distillation
by: Zhang, Lechen, et al.
Published: (2026)
by: Zhang, Lechen, et al.
Published: (2026)
MPCI-Bench: A Benchmark for Multimodal Pairwise Contextual Integrity Evaluation of Language Model Agents
by: Wang, Shouju, et al.
Published: (2026)
by: Wang, Shouju, et al.
Published: (2026)
APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching
by: Qian, Kun, et al.
Published: (2024)
by: Qian, Kun, et al.
Published: (2024)
FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
by: Carnerero-Cano, Javier, et al.
Published: (2026)
by: Carnerero-Cano, Javier, et al.
Published: (2026)
BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems
by: Wang, Wei, et al.
Published: (2024)
by: Wang, Wei, et al.
Published: (2024)
Similar Items
-
VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts
by: Liu, Xin, et al.
Published: (2025) -
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding
by: Liu, Xin, et al.
Published: (2024) -
From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models
by: Bayat, Farima Fatahi, et al.
Published: (2025) -
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression
by: Bayat, Farima Fatahi, et al.
Published: (2024) -
Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
by: Zhang, Yunxiang, et al.
Published: (2025)