Cover Image

LightHouse: A Survey of AGI Hallucination

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Wang, Feng
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Emergence is Overrated: AGI as an Archipelago of Experts
by: Kilov, Daniel
Published: (2026)

ARC-AGI-2 Technical Report
by: de Oliveira, Wallyson Lemes, et al.
Published: (2026)

Improving AGI Evaluation: A Data Science Perspective
by: Hawkins, John
Published: (2025)

A Survey of Automatic Hallucination Evaluation on Natural Language Generation
by: Qi, Siya, et al.
Published: (2024)

Position: Stop Making Unscientific AGI Performance Claims
by: Altmeyer, Patrick, et al.
Published: (2024)

AI-native Memory: A Pathway from LLMs Towards AGI
by: Shang, Jingbo, et al.
Published: (2024)

Towards AGI A Pragmatic Approach Towards Self Evolving Agent
by: Kar, Indrajit, et al.
Published: (2026)

The Impossible Test: A 2024 Unsolvable Dataset and A Chance for an AGI Quiz
by: Noever, David, et al.
Published: (2024)

Data Science and Technology Towards AGI Part I: Tiered Data Management
by: Wang, Yudong, et al.
Published: (2026)

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models
by: Feng, Yijun
Published: (2025)

Hallucination Detection and Hallucination Mitigation: An Investigation
by: Luo, Junliang, et al.
Published: (2024)

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI
by: Yang, Chao, et al.
Published: (2024)

How Far Are We From AGI: Are LLMs All We Need?
by: Feng, Tao, et al.
Published: (2024)

Removal of Hallucination on Hallucination: Debate-Augmented RAG
by: Hu, Wentao, et al.
Published: (2025)

Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
by: Lv, Qitan, et al.
Published: (2024)

Efficient Reasoning Models: A Survey
by: Feng, Sicheng, et al.
Published: (2025)

Mitigating Hallucination in Large Language Models (LLMs): An Application-Oriented Survey on RAG, Reasoning, and Agentic Systems
by: Li, Yihan, et al.
Published: (2025)

Alleviating Hallucinations of Large Language Models through Induced Hallucinations
by: Zhang, Yue, et al.
Published: (2023)

Heuristics and Biases in AI Decision-Making: Implications for Responsible AGI
by: Saeedi, Payam, et al.
Published: (2024)

Towards Efficient Neurally-Guided Program Induction for ARC-AGI
by: Ouellette, Simon
Published: (2024)

Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models
by: Sato, Makoto
Published: (2025)

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
by: Zhang, Yue, et al.
Published: (2023)

A Geometric Taxonomy of Hallucinations in LLMs
by: Marín, Javier
Published: (2026)

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection
by: Chen, Kedi, et al.
Published: (2025)

Halu-J: Critique-Based Hallucination Judge
by: Wang, Binjie, et al.
Published: (2024)

A Novel Differential Feature Learning for Effective Hallucination Detection and Classification
by: Wang, Wenkai, et al.
Published: (2025)

Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
by: Zhang, Chaowei, et al.
Published: (2025)

AI Hallucinations: A Misnomer Worth Clarifying
by: Maleki, Negar, et al.
Published: (2024)

Neural Probe-Based Hallucination Detection for Large Language Models
by: Liang, Shize, et al.
Published: (2025)

ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models
by: Zhang, Yuxiang, et al.
Published: (2024)

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

How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination
by: Islam, Saad Obaid ul, et al.
Published: (2025)

Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models
by: Nguyen, Vy, et al.
Published: (2025)

Hallucination-Free Automatic Question & Answer Generation for Intuitive Learning
by: Wang, Nicholas X., et al.
Published: (2026)

FaithLens: Detecting and Explaining Faithfulness Hallucination
by: Si, Shuzheng, et al.
Published: (2025)

COPO: Causal-Oriented Policy Optimization for Hallucinations of MLLMs
by: Guo, Peizheng, et al.
Published: (2025)

HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language Models
by: Jiang, Xinyan, et al.
Published: (2025)

C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation
by: Zhang, Xu, et al.
Published: (2025)

HARP: Hallucination Detection via Reasoning Subspace Projection
by: Hu, Junjie, et al.
Published: (2025)

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective
by: Sun, Zhongxiang, et al.
Published: (2025)