Vlachos, Andreas

FEVER: a Large-scale Dataset for Fact Extraction and VERification

Thorne, J., Vlachos, A., Christodoulopoulos, C., & Mittal, A. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

Topic ModelingMisinformation and Its Impacts

Cited by 1,343

A Survey on Automated Fact-Checking

Guo, Z., Schlichtkrull, M., & Vlachos, A. (2022) · Transactions of the Association for Computational Linguistics

Misinformation and Its ImpactsTopic Modeling

Cited by 500

Fact Checking: Task definition and dataset construction

Vlachos, A., & Riedel, S. (2014) · Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science

Misinformation and Its ImpactsTopic Modeling

Cited by 402

Emergent: a novel data-set for stance classification

Ferreira, W., & Vlachos, A. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Misinformation and Its ImpactsSentiment Analysis and Opinion Mining

Cited by 360

The Fact Extraction and VERification (FEVER) Shared Task

Thorne, J., Vlachos, A., Cocarascu, O., Christodoulopoulos, C., & Mittal, A. (2018) · Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 212

A stopping criterion for active learning

Vlachos, A. (2008) · Computer Speech & Language

Machine Learning and AlgorithmsNatural Language Processing Techniques

Cited by 153

ProoFVer: Natural Logic Theorem Proving for Fact Verification

Krishna, A., Riedel, S., & Vlachos, A. (2022) · Transactions of the Association for Computational Linguistics

Topic ModelingMisinformation and Its Impacts

Cited by 51

Generating fact checking briefs

Fan, A., Piktus, A., Petroni, F., Wenzek, G., Saeidi, M., Vlachos, A., Bordes, A., & Riedel, S. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Misinformation and Its ImpactsTopic Modeling

Cited by 42

Evidence-based Factual Error Correction

Thorne, J., & Vlachos, A. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 39

Demystifying Multi-Agent Debate: The Role of Confidence and Diversity

Zhu, X., Zhang, C., Chi, Y., Stafford, T., Collier, N., & Vlachos, A. (2026) · Findings of the Association for Computational Linguistics: ACL 2026

Topic ModelingMulti-Agent Systems and Negotiation

Cited by 28

Elastic weight consolidation for better bias inoculation

Thorne, J., & Vlachos, A. (2020) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 26

AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web

Schlichtkrull, M., Guo, Z., & Vlachos, A. (2023) · Advances in Neural Information Processing Systems 36

Misinformation and Its ImpactsTopic Modeling

Cited by 19

Automated Focused Feedback Generation for Scientific Writing Assistance

Chamoun, E., Schlichktrull, M., & Vlachos, A. (2024) · arXiv

Academic Writing and PublishingTopic Modeling

Cited by 17

Conformity in large language models

Zhu, X., Zhang, C., Stafford, T., Collier, N., & Vlachos, A. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 10

Conformity in Large Language Models

Zhu, X., Zhang, C., Stafford, T., Collier, N., & Vlachos, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

The effect of diversity on group decision-making

Karadzhov, G., Vlachos, A., & Stafford, T. (2024) · arXiv

Team Dynamics and PerformanceDecision-Making and Behavioral Economics

Cited by 0