Cover Image

HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sakai, Yusuke, Kamigaito, Hidetaka, Watanabe, Taro
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Digital Libraries
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HalluCiteChecker: A Lightweight Toolkit for Hallucinated Citation Detection and Verification in the Era of AI Scientists
by: Sakai, Yusuke, et al.
Published: (2026)

Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability
by: Sakai, Yusuke, et al.
Published: (2025)

mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans
by: Sakai, Yusuke, et al.
Published: (2024)

Big Tech-Funded AI Papers Have Higher Citation Impact, Greater Insularity, and Larger Recency Bias
by: Gnewuch, Max Martin, et al.
Published: (2025)

Tonguescape: Exploring Language Models Understanding of Vowel Articulation
by: Sakajo, Haruki, et al.
Published: (2025)

Multilinguality of Large Language Models From a Structural Perspective
by: Sakajo, Haruki, et al.
Published: (2026)

Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
by: Sakai, Yusuke, et al.
Published: (2023)

CiteCheck: Retrieval-Grounded Detection of LLM Citation Hallucinations in Scientific Text
by: Khajavi, Khashayar, et al.
Published: (2026)

BibTeX Citation Hallucinations in Scientific Publishing Agents: Evaluation and Mitigation
by: Rao, Delip, et al.
Published: (2026)

Is there really a Citation Age Bias in NLP?
by: Nguyen, Hoa, et al.
Published: (2024)

Accelerating Scientific Discovery with Multi-Document Summarization of Impact-Ranked Papers
by: Koloveas, Paris, et al.
Published: (2025)

StructLens: A Structural Lens for Language Models via Maximum Spanning Trees
by: Sakajo, Haruki, et al.
Published: (2026)

Citation Grounding: Detecting and Reducing LLM Citation Hallucinations via Legal Citation Graphs
by: Ovcharov, Volodymyr
Published: (2026)

Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair
by: Sakai, Yusuke, et al.
Published: (2024)

NAIST Academic Travelogue Dataset
by: Ouchi, Hiroki, et al.
Published: (2023)

ACL-rlg: A Dataset for Reading List Generation
by: Aubert-Béduchaud, Julien, et al.
Published: (2024)

Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding
by: Natsumi, Koki, et al.
Published: (2025)

Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates
by: Sakai, Yusuke, et al.
Published: (2024)

Fairness Evaluation of Large Language Models in Academic Library Reference Services
by: Wang, Haining, et al.
Published: (2025)

Decoding AI and Human Authorship: Nuances Revealed Through NLP and Statistical Analysis
by: Akinwande, Mayowa, et al.
Published: (2024)

SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers
by: Wu, Wenqing, et al.
Published: (2025)

How to Make the Most of LLMs' Grammatical Knowledge for Acceptability Judgments
by: Ide, Yusuke, et al.
Published: (2024)

Dictionaries to the Rescue: Cross-Lingual Vocabulary Transfer for Low-Resource Languages Using Bilingual Dictionaries
by: Sakajo, Haruki, et al.
Published: (2025)

Verified Misguidance: Measuring Structural Citation Failures in Search-Augmented LLMs
by: Seo, Yongsik, et al.
Published: (2026)

PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers
by: Lee, Yoonjoo, et al.
Published: (2024)

Mining for Species, Locations, Habitats, and Ecosystems from Scientific Papers in Invasion Biology: A Large-Scale Exploratory Study with Large Language Models
by: D'Souza, Jennifer, et al.
Published: (2025)

Revealing Trends in Datasets from the 2022 ACL and EMNLP Conferences
by: Atuhurra, Jesse, et al.
Published: (2024)

The 17% Gap: Quantifying Epistemic Decay in AI-Assisted Survey Papers
by: İlter, H. Kemal
Published: (2026)

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

Beyond Via: Analysis and Estimation of the Impact of Large Language Models in Academic Papers
by: Geng, Mingmeng, et al.
Published: (2026)

Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?
by: Hashimoto, Wataru, et al.
Published: (2024)

Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
by: Hashimoto, Wataru, et al.
Published: (2024)

HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction
by: Hao, Qianyue, et al.
Published: (2024)

FLAWS: A Benchmark for Error Identification and Localization in Scientific Papers
by: Xi, Sarina, et al.
Published: (2025)

NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment
by: Wu, Wenqing, et al.
Published: (2026)

HIKMA: Human-Inspired Knowledge by Machine Agents through a Multi-Agent Framework for Semi-Autonomous Scientific Conferences
by: Tariq, Zain Ul Abideen, et al.
Published: (2025)

Crystal: Characterizing Relative Impact of Scholarly Publications
by: Collison, Hannah, et al.
Published: (2026)

Digging Up Citations: FOSSIL, a Dataset and Workflow for Reference Extraction in Law and the Humanities
by: Foppiano, Luca, et al.
Published: (2026)

Automated Novelty Evaluation of Academic Paper: A Collaborative Approach Integrating Human and Large Language Model Knowledge
by: Wu, Wenqing, et al.
Published: (2025)

In-depth Research Impact Summarization through Fine-Grained Temporal Citation Analysis
by: Arnaout, Hiba, et al.
Published: (2025)