David Schlangen
55 papers · 2005–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 49% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which David Schlangen?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Sherzod Hakimov, Brielen Madureira, Philipp Sadler
27 papers
· 2020–2026
· ACL, EMNLP, EACL
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The Price of Thought: A Multilingual Analysis of Reasoning, Performance, and Cost of Negotiation in Large Language Models
EACL 2026
Ad-hoc Concept Forming in the Game Codenames as a Means for Evaluating Large Language Models
ACL 2025
From Templates to Natural Language: Generalization Challenges in Instruction-Tuned LLMs for Spatial Reasoning
IJCNLP 2025
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks
ACL 2025
Playpen: An Environment for Exploring Learning From Dialogue Game Feedback
EMNLP 2025
Triangulating LLM Progress through Benchmarks, Games, and Cognitive Tests
EMNLP 2025
Using Game Play to Investigate Multimodal and Conversational Grounding in Large Multimodal Models
COLING 2025
Evaluating Modular Dialogue System for Form Filling Using Large Language Models
EACL 2024
Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game
ACL 2024
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft
EMNLP 2024
Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies
COLING 2024
Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests
EACL 2024
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality
ACL 2024
Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks
ACL 2023
Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset
EACL 2023
Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples
EACL 2023
Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing
CoNLL 2023
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model
ACL 2023
Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers
ACL 2023
clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents
EMNLP 2023
Anaphoric Phenomena in Situated dialog: A First Round of Annotations
COLING 2022
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge
ACL 2022
New or Old? Exploring How Pre-Trained Language Models Represent Discourse Entities
COLING 2022
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
NAACL 2021
Reference and coreference in situated dialogue
NAACL 2021
Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU
EMNLP 2021
Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU
EMNLP 2020
6 papers whose co-authors appear nowhere else under this name
Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes
ACL 2025
On General Language Understanding
EMNLP 2023
Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer
ACL 2021
Targeting the Benchmark: On Methodology in Current Natural Language Processing Research
ACL 2021
The Future of Spoken Dialogue Systems is in their Past: Long-Term Adaptive, Conversational Assistants
NAACL 2012
Towards Finding and Fixing Fragments—Using ML to Identify Non-Sentential Utterances and their Antecedents in Multi-Party Dialogue
ACL 2005