Cover Image

HalluDial: A Large-Scale Benchmark for Automatic Dialogue-Level Hallucination Evaluation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Wen, Shen, Tianshu, Li, Wei, Peng, Guangyue, Xuan, Richeng, Wang, Houfeng, Yang, Xi
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

Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction
by: Li, Wei, et al.
Published: (2025)

FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation
by: Li, Wei, et al.
Published: (2025)

HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection
by: Yeh, Min-Hsuan, et al.
Published: (2025)

Odysseus Navigates the Sirens' Song: Dynamic Focus Decoding for Factual and Diverse Open-Ended Text Generation
by: Luo, Wen, et al.
Published: (2025)

PerHalluEval: Persian Hallucination Evaluation Benchmark for Large Language Models
by: Hosseini, Mohammad, et al.
Published: (2025)

Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations
by: Luo, Wen, et al.
Published: (2026)

HalluLens: LLM Hallucination Benchmark
by: Bang, Yejin, et al.
Published: (2025)

AgentHallu: Benchmarking Automated Hallucination Attribution of LLM-based Agents
by: Liu, Xuannan, et al.
Published: (2026)

HalluScore: Large Language Model Hallucination Question Answering Benchmark
by: Alansari, Aisha, et al.
Published: (2026)

HalluHard: A Hard Multi-Turn Hallucination Benchmark
by: Fan, Dongyang, et al.
Published: (2026)

SafeDialBench: A Fine-Grained Safety Evaluation Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks
by: Cao, Hongye, et al.
Published: (2025)

MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
by: Pandit, Shrey, et al.
Published: (2025)

ComperDial: Commonsense Persona-grounded Dialogue Dataset and Benchmark
by: Wakaki, Hiromi, et al.
Published: (2024)

Only Say What You Know: Calibration-Aware Generation for Long-Form Factuality
by: Luo, Wen, et al.
Published: (2026)

HalluDetect: Detecting, Mitigating, and Benchmarking Hallucinations in Conversational Systems in the Legal Domain
by: Anaokar, Spandan, et al.
Published: (2025)

LaoBench: A Large-Scale Multidimensional Lao Benchmark for Large Language Models
by: Gao, Jian, et al.
Published: (2025)

HalluVerse25: Fine-grained Multilingual Benchmark Dataset for LLM Hallucinations
by: Abdaljalil, Samir, et al.
Published: (2025)

FFE-Hallu:Hallucinations in Fixed Figurative Expressions:Benchmark of Idioms and Proverbs in the Persian Language
by: Hosseini, Faezeh, et al.
Published: (2026)

HalluCana: Fixing LLM Hallucination with A Canary Lookahead
by: Li, Tianyi, et al.
Published: (2024)

CoDial: Interpretable Task-Oriented Dialogue Systems Through Dialogue Flow Alignment
by: Shayanfar, Radin, et al.
Published: (2025)

HalluZig: Hallucination Detection using Zigzag Persistence
by: Samaga, Shreyas N., et al.
Published: (2026)

HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models
by: Liu, Emmy, et al.
Published: (2026)

Measuring and Mitigating Post-hoc Rationalization in Reverse Chain-of-Thought Generation
by: Peng, Guangyue, et al.
Published: (2026)

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali
by: Adib, Shefayat E Shams, et al.
Published: (2026)

AraHalluEval: A Fine-grained Hallucination Evaluation Framework for Arabic LLMs
by: Alansari, Aisha, et al.
Published: (2025)

HalluCounter: Reference-free LLM Hallucination Detection in the Wild!
by: Urlana, Ashok, et al.
Published: (2025)

HalluClean: A Unified Framework to Combat Hallucinations in LLMs
by: Zhao, Yaxin, et al.
Published: (2025)

HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection
by: Emery, Deanna, et al.
Published: (2025)

EduDial: Constructing a Large-scale Multi-turn Teacher-Student Dialogue Corpus
by: Wei, Shouang, et al.
Published: (2025)

DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models
by: Chen, Kedi, et al.
Published: (2024)

HalluSAE: Detecting Hallucinations in Large Language Models via Sparse Auto-Encoders
by: Chen, Boshui, et al.
Published: (2026)

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs
by: Cherif, Ahmed
Published: (2026)

Detection-Correction Structure via General Language Model for Grammatical Error Correction
by: Li, Wei, et al.
Published: (2024)

FinReflectKG -- HalluBench: GraphRAG Hallucination Benchmark for Financial Question Answering Systems
by: Kumar, Mahesh, et al.
Published: (2026)

DialSim: A Dialogue Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational Agents
by: Kim, Jiho, et al.
Published: (2024)

DSC2025 -- ViHallu Challenge: Detecting Hallucination in Vietnamese LLMs
by: Nguyen, Anh Thi-Hoang, et al.
Published: (2026)

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

HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences
by: Sakai, Yusuke, et al.
Published: (2026)

SPOR: A Comprehensive and Practical Evaluation Method for Compositional Generalization in Data-to-Text Generation
by: Xu, Ziyao, et al.
Published: (2024)

HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs
by: Dasgupta, Sharanya, et al.
Published: (2025)