Matthias Hagen

About Matthias Hagen

Matthias Hagen, With an exceptional h-index of 34 and a recent h-index of 28 (since 2020), a distinguished researcher at Martin-Luther-Universität Halle-Wittenberg, specializes in the field of Information Retrieval, Natural Language Processing.

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

Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders

Task-Oriented Paraphrase Analytics

Resources for Combining Teaching and Research in Information Retrieval Coursework

The Open Web Index: Crawling and indexing the Web for public use

Investigating the effects of sparse attention on cross-encoders

Simulating follow-up questions in conversational search

Analyzing adversarial attacks on sequence-to-sequence relevance models

Who determines what is relevant? Humans or AI? Why not both?: A spectrum of human–AI collaboration in assessing relevance

Matthias Hagen Information

University

Position

___

Citations(all)

4331

Citations(since 2020)

3174

Cited By

1940

hIndex(all)

34

hIndex(since 2020)

28

i10Index(all)

81

i10Index(since 2020)

69

Email

University Profile Page

Google Scholar

Matthias Hagen Skills & Research Interests

Information Retrieval

Natural Language Processing

Top articles of Matthias Hagen

Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders

arXiv preprint arXiv:2404.06912

2024/4/10

Task-Oriented Paraphrase Analytics

arXiv preprint arXiv:2403.17564

2024/3/26

Resources for Combining Teaching and Research in Information Retrieval Coursework

2024/3/25

The Open Web Index: Crawling and indexing the Web for public use

2024/3/23

Investigating the effects of sparse attention on cross-encoders

2024/3/20

Matthias Hagen
Matthias Hagen

H-Index: 20

Simulating follow-up questions in conversational search

2024/3/16

Analyzing adversarial attacks on sequence-to-sequence relevance models

2024/3/16

Who determines what is relevant? Humans or AI? Why not both?: A spectrum of human–AI collaboration in assessing relevance

Communications of the ACM

2024/3/25

A user study on the acceptance of native advertising in generative IR

2024/3/10

Matthias Hagen
Matthias Hagen

H-Index: 20

Martin Potthast
Martin Potthast

H-Index: 36

Detecting Generated Native Ads in Conversational Search

arXiv preprint arXiv:2402.04889

2024/2/7

A Mastodon Corpus to Evaluate Federated Microblog Search

2024

Embedding-based Query Spelling Correction

2024

Matthias Hagen
Matthias Hagen

H-Index: 20

Stance-aware re-ranking for non-factual comparative queries

2023/10

Evaluating Generative Ad Hoc Information Retrieval

arXiv preprint arXiv:2311.04694

2023/11/8

Commercialized Generative AI: A Critical Study of the Feasibility and Ethics of Generating Native Advertising Using Large Language Models in Conversational Web Search

arXiv preprint arXiv:2310.04892

2023/10/7

Matthias Hagen
Matthias Hagen

H-Index: 20

Martin Potthast
Martin Potthast

H-Index: 36

Overview of Touché 2023: Argument and causal retrieval

2023/3/16

SemEval-2023 task 5: Clickbait spoiling

2023/7

4.2 HMC: A Spectrum of Human–Machine-Collaborative Relevance Judgment Frameworks

Frontiers of Information Access Experimentation for Research and Education

2023/5

See List of Professors in Matthias Hagen University(Martin-Luther-Universität Halle-Wittenberg)

Co-Authors

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