Nils Reimers

About Nils Reimers

Nils Reimers, With an exceptional h-index of 24 and a recent h-index of 23 (since 2020), a distinguished researcher at Technische Universität Darmstadt, specializes in the field of Natural Language Processing, Machine Learning, Deep Learning.

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

Triple-Encoders: Representations That Fire Together, Wire Together

DAPR: A Benchmark on Document-Aware Passage Retrieval

Retrieve fast, rerank smart: Cooperative and joint approaches for improved cross-modal retrieval

UKP-SQUARE: An Online Platform for Question Answering Research

‘Injecting domain adaptation with learning-to-hash for effective and efficient zero-shot dense retrieval

Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking

MTEB: Massive text embedding benchmark

Efficient few-shot learning without prompts

Nils Reimers Information

University

Position

Post-Doctoral Researcher UKP

Citations(all)

12218

Citations(since 2020)

11988

Cited By

1563

hIndex(all)

24

hIndex(since 2020)

23

i10Index(all)

30

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Nils Reimers Skills & Research Interests

Natural Language Processing

Machine Learning

Deep Learning

Top articles of Nils Reimers

Triple-Encoders: Representations That Fire Together, Wire Together

arXiv preprint arXiv:2402.12332

2024/2/19

DAPR: A Benchmark on Document-Aware Passage Retrieval

arXiv preprint arXiv:2305.13915

2023/5/23

Nils Reimers
Nils Reimers

H-Index: 11

Iryna Gurevych
Iryna Gurevych

H-Index: 50

Retrieve fast, rerank smart: Cooperative and joint approaches for improved cross-modal retrieval

TACL 2022

2022/5

Nils Reimers
Nils Reimers

H-Index: 11

Iryna Gurevych
Iryna Gurevych

H-Index: 50

‘Injecting domain adaptation with learning-to-hash for effective and efficient zero-shot dense retrieval

arXiv preprint arXiv:2205.11498

2022

Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking

EMNLP 2022

2022/10/19

MTEB: Massive text embedding benchmark

arXiv preprint arXiv:2210.07316

2022/10/13

Nils Reimers
Nils Reimers

H-Index: 11

Efficient few-shot learning without prompts

arXiv preprint arXiv:2209.11055

2022/9/22

Nils Reimers
Nils Reimers

H-Index: 11

Domain adaptation for memory-efficient dense retrieval

arXiv preprint arXiv:2205.11498

2022/5/23

Gpl: Generative pseudo labeling for unsupervised domain adaptation of dense retrieval

arXiv preprint arXiv:2112.07577

2021/12/14

Generalizing cross-document event coreference resolution across multiple corpora

Computational Linguistics

2021/11/3

Nils Reimers
Nils Reimers

H-Index: 11

Iryna Gurevych
Iryna Gurevych

H-Index: 50

Beir: A heterogenous benchmark for zero-shot evaluation of information retrieval models

2021/4/17

Tsdae: Using transformer-based sequential denoising auto-encoder for unsupervised sentence embedding learning

arXiv preprint arXiv:2104.06979

2021/4/14

Nils Reimers
Nils Reimers

H-Index: 11

Iryna Gurevych
Iryna Gurevych

H-Index: 50

TWEAC: transformer with extendable QA agent classifiers

arXiv preprint arXiv:2104.07081

2021/4/14

The curse of dense low-dimensional information retrieval for large index sizes

arXiv preprint arXiv:2012.14210

2020/12/28

Nils Reimers
Nils Reimers

H-Index: 11

Iryna Gurevych
Iryna Gurevych

H-Index: 50

Adapterdrop: On the efficiency of adapters in transformers

2020/10/22

Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks

2020/10/16

Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

2020/4/21

Nils Reimers
Nils Reimers

H-Index: 11

Iryna Gurevych
Iryna Gurevych

H-Index: 50

Breaking the Subtopic Barrier in Cross-Document Event Coreference Resolution.

2020

Football Coreference Corpus

2020

See List of Professors in Nils Reimers University(Technische Universität Darmstadt)