David Schlangen

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 107

Top Venues

Publications

David Schlangen
LLMs as Function Approximators: Terminology, Taxonomy, and Questions for Evaluation. CoRR (2024)
Isidora Jeknic, David Schlangen, Alexander Koller
A Dialogue Game for Eliciting Balanced Collaboration. CoRR (2024)
Brielen Madureira, Patrick Kahardipraja, David Schlangen
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality. CoRR (2024)
Brielen Madureira, David Schlangen
It Couldn't Help But Overhear: On the Limits of Modelling Meta-Communicative Grounding Acts with Supervised Learning. CoRR (2024)
Brielen Madureira, Patrick Kahardipraja, David Schlangen
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality. ACL (1) (2024)
Anne Beyer, Kranti Chalamalasetti, Sherzod Hakimov, Brielen Madureira, Philipp Sadler, David Schlangen
clembench-2024: A Challenging, Dynamic, Complementary, Multilingual Benchmark and Underlying Flexible Framework for LLMs as Multi-Action Agents. CoRR (2024)
Philipp Sadler, Sherzod Hakimov, David Schlangen
Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game. CoRR (2024)
Brielen Madureira, David Schlangen
Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests. CoRR (2024)
Nidhir Bhavsar, Jonathan Jordan, Sherzod Hakimov, David Schlangen
How Many Parameters Does it Take to Change a Light Bulb? Evaluating Performance in Self-Play of Conversational Games as a Function of Model Characteristics. CoRR (2024)
Julian Hough, Sina Zarrieß, Casey Kennington, David Schlangen, Massimo Poesio
Conceptual Pacts for Reference Resolution Using Small, Dynamically Constructed Language Models: A Study in Puzzle Building Dialogues. LREC/COLING (2024)
Philipp Sadler, Sherzod Hakimov, David Schlangen
Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies. LREC/COLING (2024)
Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, Desmond Elliott, Raquel Fernández, Albert Gatt, Esam Ghaleb, Mario Giulianelli, Michael Hanna, Alexander Koller, André F. T. Martins, Philipp Mondorf, Vera Neplenbroek, Sandro Pezzelle, Barbara Plank, David Schlangen, Alessandro Suglia, Aditya K. Surikuchi, Ece Takmaz, Alberto Testoni
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks. CoRR (2024)
Philipp Sadler, Sherzod Hakimov, David Schlangen
Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies. CoRR (2024)
Sherzod Hakimov, Yerkezhan Abdullayeva, Kushal Koshti, Antonia Schmidt, Yan Weiser, Anne Beyer, David Schlangen
Two Giraffes in a Dirt Field: Using Game Play to Investigate Situation Modelling in Large Multimodal Models. CoRR (2024)
Chalamalasetti Kranti, Sherzod Hakimov, David Schlangen
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft. CoRR (2024)
Brielen Madureira, Pelin Çelikkol, David Schlangen
Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing. CoRR (2023)
Philipp Sadler, David Schlangen
Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples. CoRR (2023)
Sherzod Hakimov, David Schlangen
Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks. CoRR (2023)
Sherzod Hakimov, David Schlangen
Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks. ACL (Findings) (2023)
David Schlangen
On General Language Understanding. CoRR (2023)
Fabian Galetzka, Anne Beyer, David Schlangen
Neural Conversation Models and How to Rein Them in: A Survey of Failures and Fixes. CoRR (2023)
David Schlangen
What A Situated Language-Using Agent Must be Able to Do: A Top-Down Analysis. CoRR (2023)
Mark Dingemanse, Andreas Liesenfeld, Marlou Rasenberg, Saul Albert, Felix K. Ameka, Abeba Birhane, Dimitris Bolis, Justine Cassell, Rebecca Clift, Elena Cuffari, Hanne De Jaegher, Catarina Dutilh Novaes, N. J. Enfield, Riccardo Fusaroli, Eleni Gregoromichelaki, Edwin Hutchins, Ivana Konvalinka, Damian Milton, Joanna Raczaszek-Leonardi, Vasudevi Reddy, Federico Rossano, David Schlangen, Johanna Seibt, Elizabeth Stokoe, Lucy A. Suchman, Cordula Vesper, Thalia Wheatley, Martina Wiltschko
Beyond Single-Mindedness: A Figure-Ground Reversal for the Cognitive Sciences. Cogn. Sci. 47 (1) (2023)
Patrick Kahardipraja, Brielen Madureira, David Schlangen
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model. CoRR (2023)
Kranti Chalamalasetti, Jana Götze, Sherzod Hakimov, Brielen Madureira, Philipp Sadler, David Schlangen
clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents. CoRR (2023)
Philipp Sadler, Sherzod Hakimov, David Schlangen
Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers. CoRR (2023)
Brielen Madureira, David Schlangen
Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset. CoRR (2023)
Pelin Çelikkol, Jochen Laubrock, David Schlangen
TF-IDF based Scene-Object Relations Correlate With Visual Attention. ETRA (2023)
Philipp Sadler, Sherzod Hakimov, David Schlangen
Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers. ACL (Findings) (2023)
Brielen Madureira, Patrick Kahardipraja, David Schlangen
The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labelling. SIGDIAL (2023)
Brielen Madureira, David Schlangen
Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset. EACL (2023)
Philipp Sadler, David Schlangen
Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples. EACL (2023)
Brielen Madureira, Patrick Kahardipraja, David Schlangen
The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labelling. CoRR (2023)
Brielen Madureira, David Schlangen
"Are you telling me to put glasses on the dog?" Content-Grounded Annotation of Instruction Clarification Requests in the CoDraw Dataset. CoRR (2023)
Kranti Chalamalasetti, Jana Götze, Sherzod Hakimov, Brielen Madureira, Philipp Sadler, David Schlangen
clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents. EMNLP (2023)
Brielen Madureira, Pelin Çelikkol, David Schlangen
Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing. CoNLL (2023)
David Schlangen
Dialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy. CoRR (2023)
Patrick Kahardipraja, Brielen Madureira, David Schlangen
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model. ACL (Findings) (2023)
David Schlangen
On General Language Understanding. EMNLP (Findings) (2023)
David Schlangen
Norm Participation Grounds Language. CoRR (2022)
Brielen Madureira, David Schlangen
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge. CoRR (2022)
Sharid Loáiciga, Anne Beyer, David Schlangen
New or Old? Exploring How Pre-Trained Language Models Represent Discourse Entities. COLING (2022)
Brielen Madureira, David Schlangen
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge. ACL (2) (2022)
Jana Götze, Maike Paetzel-Prüsmann, Wencke Liermann, Tim Diekmann, David Schlangen
The slurk Interaction Server Framework: Better Data for Better Dialog Models. LREC (2022)
Jana Götze, Maike Paetzel-Prüsmann, Wencke Liermann, Tim Diekmann, David Schlangen
The slurk Interaction Server Framework: Better Data for Better Dialog Models. CoRR (2022)
Fabian Galetzka, Jewgeni Rose, David Schlangen, Jens Lehmann
Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer. ACL/IJCNLP (1) (2021)
Patrick Kahardipraja, Brielen Madureira, David Schlangen
Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU. EMNLP (1) (2021)
Anne Beyer, Sharid Loáiciga, David Schlangen
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models. NAACL-HLT (2021)
Patrick Kahardipraja, Brielen Madureira, David Schlangen
Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU. CoRR (2021)
David Schlangen
Targeting the Benchmark: On Methodology in Current Natural Language Processing Research. ACL/IJCNLP (2) (2021)
Anne Beyer, Sharid Loáiciga, David Schlangen
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models. CoRR (2021)
Robin Rojowiec, Jana Götze, Philipp Sadler, Henrik Voigt, Sina Zarrieß, David Schlangen
From "Before" to "After": Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain. INLG (2020)
Brielen Madureira, David Schlangen
An Overview of Natural Language State Representation for Reinforcement Learning. CoRR (2020)
Fabian Galetzka, Chukwuemeka Uchenna Eneh, David Schlangen
A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models. CoRR (2020)
David Schlangen
Targeting the Benchmark: On Methodology in Current Natural Language Processing Research. CoRR (2020)
Fabian Galetzka, Chukwuemeka Uchenna Eneh, David Schlangen
A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models. LREC (2020)
Brielen Madureira, David Schlangen
Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU. CoRR (2020)
Brielen Madureira, David Schlangen
Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU. EMNLP (1) (2020)
David Schlangen
Language Tasks and Language Games: On Methodology in Current Natural Language Processing Research. CoRR (2019)
Nikolai Ilinykh, Sina Zarrieß, David Schlangen
Tell Me More: A Dataset of Visual Scene Description Sequences. INLG (2019)
Philipp Sadler, Tatjana Scheffler, David Schlangen
Can Neural Image Captioning be Controlled via Forced Attention? INLG (2019)
Sina Zarrieß, David Schlangen
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories. CoRR (2019)
Nikolai Ilinykh, Sina Zarrieß, David Schlangen
MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment. CoRR (2019)
David Schlangen
Natural Language Semantics With Pictures: Some Language & Vision Datasets and Potential Uses for Computational Semantics. CoRR (2019)
Nazia Attari, Martin Heckmann, David Schlangen
From Explainability to Explanation: Using a Dialogue Setting to Elicit Annotations with Justifications. SIGdial (2019)
David Schlangen
Natural Language Semantics With Pictures: Some Language & Vision Datasets and Potential Uses for Computational Semantics. IWCS (1) (2019)
David Schlangen
Grounded Agreement Games: Emphasizing Conversational Grounding in Visual Dialogue Settings. CoRR (2019)
Sina Zarrieß, David Schlangen
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories. ACL (1) (2019)
Philipp Sadler, Tatjana Scheffler, David Schlangen
Can Neural Image Captioning be Controlled via Forced Attention? CoRR (2019)
Sina Zarrieß, David Schlangen
Decoding Strategies for Neural Referring Expression Generation. INLG (2018)
Ting Han, David Schlangen
A Corpus of Natural Multimodal Spatial Scene Descriptions. LREC (2018)
Nikolai Ilinykh, Sina Zarrieß, David Schlangen
The Task Matters: Comparing Image Captioning and Task-Based Dialogical Image Description. INLG (2018)
Birte Carlmeyer, Simon Betz, Petra Wagner, Britta Wrede, David Schlangen
The Hesitating Robot - Implementation and First Impressions. HRI (Companion) (2018)
Soledad López Gambino, Sina Zarrieß, David Schlangen
Testing Strategies For Bridging Time-To-Content In Spoken Dialogue Systems. IWSDS (2018)
Ting Han, Casey Kennington, David Schlangen
Placing Objects in Gesture Space: Toward Incremental Interpretation of Multimodal Spatial Descriptions. AAAI (2018)
Casey Kennington, David Schlangen
A simple generative model of incremental reference resolution for situated dialogue. Comput. Speech Lang. 41 (2017)
Iwan de Kok, Felix Hülsmann, Thomas Waltemate, Cornelia Frank, Julian Hough, Thies Pfeiffer, David Schlangen, Thomas Schack, Mario Botsch, Stefan Kopp
The Intelligent Coaching Space: A Demonstration. IVA (2017)
Ting Han, Julian Hough, David Schlangen
Natural Language Informs the Interpretation of Iconic Gestures: A Computational Approach. IJCNLP(2) (2017)
Sina Zarrieß, Soledad López Gambino, David Schlangen
Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images. INLG (2017)
Angelika Maier, Julian Hough, David Schlangen
Towards Deep End-of-Turn Prediction for Situated Spoken Dialogue Systems. INTERSPEECH (2017)
Sina Zarrieß, David Schlangen
Deriving continous grounded meaning representations from referentially structured multimodal contexts. EMNLP (2017)
Julian Hough, David Schlangen
It's Not What You Do, It's How You Do It: Grounding Uncertainty for a Simple Robot. HRI (2017)
Julian Hough, David Schlangen
Joint, Incremental Disfluency Detection and Utterance Segmentation from Speech. EACL (1) (2017)
Soledad López Gambino, Casey Kennington, David Schlangen
Silence, Please! Interrupting In-Car Phone Conversations. WCIHAI@IVA (2017)
Sina Zarrieß, David Schlangen
Obtaining referential word meanings from visual and distributional information: Experiments on object naming. ACL (1) (2017)
Casey Kennington, Ting Han, David Schlangen
Temporal alignment using the incremental unit framework. ICMI (2017)
Sina Zarrieß, David Schlangen
Is this a Child, a Girl or a Car? Exploring the Contribution of Distributional Similarity to Learning Referential Word Meanings. EACL (2) (2017)
Ting Han, David Schlangen
Draw and Tell: Multimodal Descriptions Outperform Verbal- or Sketch-Only Descriptions in an Image Retrieval Task. IJCNLP(2) (2017)
Ting Han, David Schlangen
Grounding Language by Continuous Observation of Instruction Following. EACL (2) (2017)
Soledad López Gambino, Sina Zarrieß, David Schlangen
Beyond On-hold Messages: Conversational Time-buying in Task-oriented Dialogue. SIGDIAL Conference (2017)
Sina Zarrieß, Julian Hough, Casey Kennington, Ramesh R. Manuvinakurike, David DeVault, Raquel Fernández, David Schlangen
PentoRef: A Corpus of Spoken References in Task-oriented Dialogues. LREC (2016)
Timo Baumann, Casey Kennington, Julian Hough, David Schlangen
Recognising Conversational Speech: What an Incremental ASR Should Do for a Dialogue System and How to Get There. IWSDS (2016)
Viktor Richter, Birte Carlmeyer, Florian Lier, Sebastian Meyer zu Borgsen, David Schlangen, Franz Kummert, Sven Wachsmuth, Britta Wrede
Are you talking to me?: Improving the Robustness of Dialogue Systems in a Multi Party HRI Scenario by Incorporating Gaze Direction and Lip Movement of Attendees. HAI (2016)
Casey Kennington, David Schlangen
Supporting Spoken Assistant Systems with a Graphical User Interface that Signals Incremental Understanding and Prediction State. SIGDIAL Conference (2016)
Sina Zarrieß, David Schlangen
Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs. ACL (1) (2016)
Julian Hough, David Schlangen
Investigating Fluidity for Human-Robot Interaction with Real-time, Real-world Grounding Strategies. SIGDIAL Conference (2016)
Julian Hough, Ye Tian, Laura E. de Ruiter, Simon Betz, Spyros Kousidis, David Schlangen, Jonathan Ginzburg
DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter. LREC (2016)
Sean Andrist, Dan Bohus, Bilge Mutlu, David Schlangen
Turn-Taking and Coordination in Human-Machine Interaction. AI Mag. 37 (4) (2016)
Sina Zarrieß, David Schlangen
Towards Generating Colour Terms for Referents in Photographs: Prefer the Expected or the Unexpected? INLG (2016)
Ramesh R. Manuvinakurike, Maike Paetzel, Cheng Qu, David Schlangen, David DeVault
Toward incremental dialogue act segmentation in fast-paced interactive dialogue systems. SIGDIAL Conference (2016)

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Publication Activity (10 Years)

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David Schlangen