Andreas Vlachos

Andreas Vlachos

University of Cambridge

H-index: 41

Europe-United Kingdom

About Andreas Vlachos

Andreas Vlachos, With an exceptional h-index of 41 and a recent h-index of 32 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Natural language processing, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy

Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective

The effect of diversity on group decision-making

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese

AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets

AmbiFC: Fact-Checking Ambiguous Claims with Evidence

PRobELM: Plausibility Ranking Evaluation for Language Models

Improving the robustness of NLI models with minimax training

Andreas Vlachos Information

University

Position

Senior Lecturer

Citations(all)

7062

Citations(since 2020)

5335

Cited By

3312

hIndex(all)

41

hIndex(since 2020)

32

i10Index(all)

73

i10Index(since 2020)

55

Email

University Profile Page

University of Cambridge

Google Scholar

View Google Scholar Profile

Andreas Vlachos Skills & Research Interests

Natural language processing

machine learning

Top articles of Andreas Vlachos

Title

Journal

Author(s)

Publication Date

Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy

Julius Cheng

Andreas Vlachos

2024/3

Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective

Communications of the ACM

Wojciech Mazurczyk

Dongwon Lee

Andreas Vlachos

2024/2/22

The effect of diversity on group decision-making

arXiv preprint arXiv:2402.01427

Georgi Karadzhov

Andreas Vlachos

Tom Stafford

2024/2/2

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese

arXiv preprint arXiv:2401.15498

Caiqi Zhang

Zhijiang Guo

Andreas Vlachos

2024/1/27

AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets

arXiv preprint arXiv:2404.05623

Pietro Lesci

Andreas Vlachos

2024/4/8

AmbiFC: Fact-Checking Ambiguous Claims with Evidence

Transactions of the Association for Computational Linguistics

Max Glockner

Ieva Staliūnaitė

James Thorne

Gisela Vallejo

Andreas Vlachos

...

2024/1/9

PRobELM: Plausibility Ranking Evaluation for Language Models

arXiv preprint arXiv:2404.03818

Zhangdie Yuan

Chenxi Whitehouse

Eric Chamoun

Rami Aly

Andreas Vlachos

2024/4/4

Improving the robustness of NLI models with minimax training

Michalis Korakakis

Andreas Vlachos

2023/7

Multimodal automated fact-checking: A survey

arXiv preprint arXiv:2305.13507

Akhtar Mubashara

Schlichtkrull Michael

Guo Zhijiang

Cocarascu Oana

Simperl Elena

...

2023/5/22

Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs

arXiv preprint arXiv:2312.11785

Zhangdie Yuan

Andreas Vlachos

2023/12/19

DeliData: A dataset for deliberation in multi-party problem solving

Georgi Karadzhov

Tom Stafford

Andreas Vlachos

2023/4/11

Proceedings of the Sixth Fact Extraction and VERification Workshop (FEVER)

Mubashara Akhtar

Rami Aly

Christos Christodoulopoulos

Oana Cocarascu

Zhijiang Guo

...

2023/5

Averitec: A dataset for real-world claim verification with evidence from the web

Advances in Neural Information Processing Systems

Michael Schlichtkrull

Zhijiang Guo

Andreas Vlachos

2023/12/13

Towards a Unified Model of Scholarly Argumentation (Dagstuhl Seminar 22432)

Khalid Al-Khatib

Anita de Waard

Dayne Freitag

Iryna Gurevych

Yufang Hou

...

2023

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Andreas Vlachos

Isabelle Augenstein

2023/5

Faster minimum Bayes risk decoding with confidence-based pruning

Julius Cheng

Andreas Vlachos

2023/11/25

Findings of the Association for Computational Linguistics: EACL 2023

Andreas Vlachos

Isabelle Augenstein

2023/5

Automated Fact-Checking in Dialogue: Are Specialized Models Needed?

arXiv preprint arXiv:2311.08195

Eric Chamoun

Marzieh Saeidi

Andreas Vlachos

2023/11/14

The intended uses of automated fact-checking artefacts: Why, how and who

arXiv preprint arXiv:2304.14238

Michael Schlichtkrull

Nedjma Ousidhoum

Andreas Vlachos

2023/4/27

QA-NatVer: Question Answering for Natural Logic-based Fact Verification

arXiv preprint arXiv:2310.14198

Rami Aly

Marek Strong

Andreas Vlachos

2023/10/22

See List of Professors in Andreas Vlachos University(University of Cambridge)

Co-Authors

H-index: 124
Zoubin Ghahramani

Zoubin Ghahramani

University of Cambridge

H-index: 65
Sebastian Riedel

Sebastian Riedel

University College London

H-index: 56
Ted Briscoe

Ted Briscoe

University of Cambridge

H-index: 46
Tim Rocktäschel

Tim Rocktäschel

University College London

H-index: 46
Mark Craven

Mark Craven

University of Wisconsin-Madison

H-index: 37
Isabelle Augenstein

Isabelle Augenstein

Københavns Universitet

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