Michael Witbrock

About Michael Witbrock

Michael Witbrock, With an exceptional h-index of 38 and a recent h-index of 19 (since 2020), a distinguished researcher at University of Auckland, specializes in the field of Artificial Intelligence, Reasoning, Deep Learning, Representation Learning, Natural Language Understanding.

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

Anisotropic span embeddings and the negative impact of higher-order inference for coreference resolution: An empirical analysis

Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables

Robust Node Classification on Graph Data with Graph and Label Noise

Graph transformer against graph perturbation by flexible-pass filter

Can Large Language Models Learn Independent Causal Mechanisms?

Meerkat Behaviour Recognition Dataset

Training on digitized building regulations for automated rule extraction

Disentanglement of latent representations via causal interventions

Michael Witbrock Information

University

Position

The

Citations(all)

6723

Citations(since 2020)

2073

Cited By

5448

hIndex(all)

38

hIndex(since 2020)

19

i10Index(all)

74

i10Index(since 2020)

34

Email

University Profile Page

Google Scholar

Michael Witbrock Skills & Research Interests

Artificial Intelligence

Reasoning

Deep Learning

Representation Learning

Natural Language Understanding

Top articles of Michael Witbrock

Title

Journal

Author(s)

Publication Date

Anisotropic span embeddings and the negative impact of higher-order inference for coreference resolution: An empirical analysis

Natural Language Engineering

Feng Hou

Ruili Wang

See-Kiong Ng

Fangyi Zhu

Michael Witbrock

...

2024/1/25

Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables

Proceedings of the AAAI Conference on Artificial Intelligence

Yang Chen

Xiao Lin

Bo Yan

Libo Zhang

Jiamou Liu

...

2024/3/24

Robust Node Classification on Graph Data with Graph and Label Noise

Proceedings of the AAAI Conference on Artificial Intelligence

Yonghua Zhu

Lei Feng

Zhenyun Deng

Yang Chen

Robert Amor

...

2024/3/24

Graph transformer against graph perturbation by flexible-pass filter

Information Fusion

Yonghua Zhu

Jincheng Huang

Yang Chen

Robert Amor

Michael Witbrock

2024/2/7

Can Large Language Models Learn Independent Causal Mechanisms?

arXiv preprint arXiv:2402.02636

Gaël Gendron

Bao Trung Nguyen

Alex Yuxuan Peng

Michael Witbrock

Gillian Dobbie

2024/2/4

Meerkat Behaviour Recognition Dataset

arXiv preprint arXiv:2306.11326

Mitchell Rogers

Gaël Gendron

David Arturo Soriano Valdez

Mihailo Azhar

Yang Chen

...

2023/6/20

Training on digitized building regulations for automated rule extraction

Stefan Fuchs

J Dimyadi

M Witbrock

R Amor

2023/3/29

Disentanglement of latent representations via causal interventions

arXiv preprint arXiv:2302.00869

Gaël Gendron

Michael Witbrock

Gillian Dobbie

2023/2/2

Exploring self-reinforcement for improving learnersourced multiple-choice question explanations with large language models

arXiv preprint arXiv:2309.10444

Qiming Bao

Juho Leinonen

Alex Yuxuan Peng

Wanjun Zhong

Tim Pistotti

...

2023/9/19

Efficient size-prescribed k-core search

Yiping Liu

Bo Yan

Bo Zhao

Hongyi Su

Yang Chen

...

2023/11/6

Large language models are not abstract reasoners

arXiv preprint arXiv:2305.19555

Gaël Gendron

Qiming Bao

Michael Witbrock

Gillian Dobbie

2023/5/31

Input-length-shortening and text generation via attention values

arXiv preprint arXiv:2303.07585

Neşet Özkan Tan

Alex Yuxuan Peng

Joshua Bensemann

Qiming Bao

Tim Hartill

...

2023/3/14

A survey of methods, challenges and perspectives in causality

Gaël Gendron

Michael Witbrock

Gillian Dobbie

2023/2/1

Answering unseen questions with smaller language\\models using rationale generation and dense retrieval

arXiv preprint arXiv:2308.04711

Tim Hartill

Diana Benavides-Prado

Michael Witbrock

Patricia J Riddle

2023/8/9

Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks

arXiv preprint arXiv:2312.14333

Gaël Gendron

Yang Chen

Mitchell Rogers

Yiping Liu

Mihailo Azhar

...

2023/12/21

Chain of Propagation Prompting for Node Classification

Yonghua Zhu

Zhenyun Deng

Yang Chen

Robert Amor

Michael Witbrock

2023/10/26

Contrastive learning with logic-driven data augmentation for logical reasoning over text

arXiv preprint arXiv:2305.12599

Qiming Bao

Alex Yuxuan Peng

Zhenyun Deng

Wanjun Zhong

Neset Tan

...

2023/5/21

A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge

Qianqian Qi

Qiming Bao

Alex Yuxuan Peng

Jiamou Liu

Michael Witbrock

2023/4/17

Problem manipulators for language-independent computerized reasoning

2023/1/3

Teaching smaller language models to generalise to unseen compositional questions

arXiv preprint arXiv:2308.00946

Tim Hartill

Neset TAN

Michael Witbrock

Patricia J Riddle

2023/8/2

See List of Professors in Michael Witbrock University(University of Auckland)

Co-Authors

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