David Schlangen

David Schlangen

Universität Potsdam

H-index: 33

Europe-Germany

About David Schlangen

David Schlangen, With an exceptional h-index of 33 and a recent h-index of 22 (since 2020), a distinguished researcher at Universität Potsdam, specializes in the field of Computational Linguistics, Artificial Intelligence, Conversational Agents, Dialogue Systems.

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

When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality

Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game

Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests

Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies

Evaluating Modular Dialogue System for Form Filling Using Large Language Models

TAPIR: Learning adaptive revision for incremental natural language understanding with a two-pass model

TF-IDF based Scene-Object Relations Correlate With Visual Attention

Beyond single‐mindedness: A figure‐ground reversal for the cognitive sciences

David Schlangen Information

University

Position

Professor "Foundations of Computational Linguistics"

Citations(all)

3933

Citations(since 2020)

1571

Cited By

2895

hIndex(all)

33

hIndex(since 2020)

22

i10Index(all)

104

i10Index(since 2020)

58

Email

University Profile Page

Universität Potsdam

Google Scholar

View Google Scholar Profile

David Schlangen Skills & Research Interests

Computational Linguistics

Artificial Intelligence

Conversational Agents

Dialogue Systems

Top articles of David Schlangen

Title

Journal

Author(s)

Publication Date

When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality

arXiv preprint arXiv:2402.13113

Brielen Madureira

Patrick Kahardipraja

David Schlangen

2024/2/20

Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game

arXiv preprint arXiv:2402.04824

Philipp Sadler

Sherzod Hakimov

David Schlangen

2024/2/7

Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests

arXiv preprint arXiv:2401.17039

Brielen Madureira

David Schlangen

2024/1/30

Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies

arXiv preprint arXiv:2403.17497

Philipp Sadler

Sherzod Hakimov

David Schlangen

2024/3/26

Evaluating Modular Dialogue System for Form Filling Using Large Language Models

Sherzod Hakimov

Yan Weiser

David Schlangen

2024/3

TAPIR: Learning adaptive revision for incremental natural language understanding with a two-pass model

arXiv preprint arXiv:2305.10845

Patrick Kahardipraja

Brielen Madureira

David Schlangen

2023/5/18

TF-IDF based Scene-Object Relations Correlate With Visual Attention

Pelin Çelikkol

Jochen Laubrock

David Schlangen

2023/5/30

Beyond single‐mindedness: A figure‐ground reversal for the cognitive sciences

Cognitive science

Mark Dingemanse

Andreas Liesenfeld

Marlou Rasenberg

Saul Albert

Felix K Ameka

...

2023/1

“Why Do You Say So?” Dialogical Classification Explanations in the Wild and Elicited Through Classification Games

Proceedings of the 27th Workshop on the Semantics and Pragmatics of Dialogue

Jana Götze

David Schlangen

2023/8/16

Dialogue games for benchmarking language understanding: Motivation, taxonomy, strategy

arXiv preprint arXiv:2304.07007

David Schlangen

2023/4/14

Pento-DIARef: A diagnostic dataset for learning the incremental algorithm for referring expression generation from examples

arXiv preprint arXiv:2305.15087

Philipp Sadler

David Schlangen

2023/5/24

Neural Conversation Models and How to Rein Them in: A Survey of Failures and Fixes

arXiv preprint arXiv:2308.06095

Fabian Galetzka

Anne Beyer

David Schlangen

2023/8/11

Instruction clarification requests in multimodal collaborative dialogue games: Tasks, and an analysis of the codraw dataset

arXiv preprint arXiv:2302.14406

Brielen Madureira

David Schlangen

2023/2/28

Images in language space: Exploring the suitability of large language models for vision & language tasks

arXiv preprint arXiv:2305.13782

Sherzod Hakimov

David Schlangen

2023/5/23

The road to quality is paved with good revisions: A detailed evaluation methodology for revision policies in incremental sequence labelling

arXiv preprint arXiv:2307.15508

Brielen Madureira

Patrick Kahardipraja

David Schlangen

2023/7/28

What a situated language-using agent must be able to do: A top-down analysis

arXiv preprint arXiv:2302.08590

David Schlangen

2023/2/16

clembench: Using game play to evaluate chat-optimized language models as conversational agents

arXiv preprint arXiv:2305.13455

Kranti Chalamalasetti

Jana Götze

Sherzod Hakimov

Brielen Madureira

Philipp Sadler

...

2023/5/22

Understanding Understanding

Richard Brock

2015

On General Language Understanding

arXiv preprint arXiv:2310.18038

David Schlangen

2023/10/27

Portal Wissen= Excellence

Portal Wissen: The research magazine of the University of Potsdam

Oliver Günther

Manja Schüle

Damaris Zurell

Florian Jeltsch

Manuel Roeleke

...

2023

See List of Professors in David Schlangen University(Universität Potsdam)

Co-Authors

H-index: 49
Stefan Kopp

Stefan Kopp

Universität Bielefeld

H-index: 42
Britta Wrede

Britta Wrede

Universität Bielefeld

H-index: 31
Gabriel Skantze

Gabriel Skantze

Kungliga Tekniska högskolan

H-index: 27
Petra Wagner

Petra Wagner

Universität Bielefeld

H-index: 27
Raquel Fernández

Raquel Fernández

Universiteit van Amsterdam

H-index: 25
Julian Hough

Julian Hough

Queen Mary University of London

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