Cover Image

Reference Games as a Testbed for the Alignment of Model Uncertainty and Clarification Requests

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ali, Manar, Sieker, Judith, Zarrieß, Sina, Buschmeier, Hendrik
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Are Multimodal Large Language Models Pragmatically Competent Listeners in Simple Reference Resolution Tasks?
by: Junker, Simeon, et al.
Published: (2025)

How Hypocritical Is Your LLM judge? Listener-Speaker Asymmetries in the Pragmatic Competence of Large Language Models
by: Sieker, Judith, et al.
Published: (2026)

The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems
by: Sieker, Judith, et al.
Published: (2024)

LLMs Struggle to Reject False Presuppositions when Misinformation Stakes are High
by: Sieker, Judith, et al.
Published: (2025)

Can LLMs Ground when they (Don't) Know: A Study on Direct and Loaded Political Questions
by: Lachenmaier, Clara, et al.
Published: (2025)

Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models
by: Askari, Raha, et al.
Published: (2025)

Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning)
by: Padovani, Francesca, et al.
Published: (2025)

Resilience through Scene Context in Visual Referring Expression Generation
by: Junker, Simeon, et al.
Published: (2024)

Conversational Implicatures: Modelling Relevance Theory Probabilistically
by: Unger, Christoph, et al.
Published: (2025)

Revisiting the Phenomenon of Syntactic Complexity Convergence on German Dialogue Data
by: Wang, Yu, et al.
Published: (2024)

Towards an Analysis of Discourse and Interactional Pragmatic Reasoning Capabilities of Large Language Models
by: Robrecht, Amelie, et al.
Published: (2024)

The Frequency Confound in Language-Model Surprisal and Metaphor Novelty
by: Momen, Omar, et al.
Published: (2026)

Child-directed speech facilitates production, not comprehension, in BabyLMs
by: Bunzeck, Bastian, et al.
Published: (2026)

Subword models struggle with word learning, but surprisal hides it
by: Bunzeck, Bastian, et al.
Published: (2025)

SceneGram: Conceptualizing and Describing Tangrams in Scene Context
by: Junker, Simeon, et al.
Published: (2025)

Model Interpretability and Rationale Extraction by Input Mask Optimization
by: Brinner, Marc, et al.
Published: (2025)

Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training
by: Brinner, Marc, et al.
Published: (2025)

Efficient Scientific Full Text Classification: The Case of EICAT Impact Assessments
by: Brinner, Marc Felix, et al.
Published: (2025)

SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts
by: Brinner, Marc, et al.
Published: (2025)

Predicting States of Understanding in Explanatory Interactions Using Cognitive Load-Related Linguistic Cues
by: Wang, Yu, et al.
Published: (2026)

Conversational Feedback in Scripted versus Spontaneous Dialogues: A Comparative Analysis
by: Pilán, Ildikó, et al.
Published: (2023)

Identifying the Periodicity of Information in Natural Language
by: Ou, Yulin, et al.
Published: (2025)

Do Construction Distributions Shape Formal Language Learning In German BabyLMs?
by: Bunzeck, Bastian, et al.
Published: (2025)

Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals unreliable Multi-Turn Behavior in LLMs
by: Lachenmaier, Clara, et al.
Published: (2026)

SemCSE-Multi: Multifaceted and Decodable Embeddings for Aspect-Specific and Interpretable Scientific Domain Mapping
by: Brinner, Marc, et al.
Published: (2025)

Small Language Models Also Work With Small Vocabularies: Probing the Linguistic Abilities of Grapheme- and Phoneme-Based Baby Llamas
by: Bunzeck, Bastian, et al.
Published: (2024)

Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests
by: Madureira, Brielen, et al.
Published: (2024)

Enhancing Domain-Specific Encoder Models with LLM-Generated Data: How to Leverage Ontologies, and How to Do Without Them
by: Brinner, Marc, et al.
Published: (2025)

Implicit Causality-biases in humans and LLMs as a tool for benchmarking LLM discourse capabilities
by: Kankowski, Florian, et al.
Published: (2025)

Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models
by: Wang, Yu, et al.
Published: (2025)

Evaluating Diversity in Automatic Poetry Generation
by: Chen, Yanran, et al.
Published: (2024)

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
by: Hou, Bairu, et al.
Published: (2023)

The InviTE Corpus: Annotating Invectives in Tudor English Texts for Computational Modeling
by: Spliethoff, Sophie, et al.
Published: (2025)

Structured Uncertainty guided Clarification for LLM Agents
by: Suri, Manan, et al.
Published: (2025)

PERSONA: A Reproducible Testbed for Pluralistic Alignment
by: Castricato, Louis, et al.
Published: (2024)

Ask or Assume? Uncertainty-Aware Clarification-Seeking in Coding Agents
by: Edwards, Nicholas, et al.
Published: (2026)

Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic Datasets
by: Momen, Omar, et al.
Published: (2026)

Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions
by: Testoni, Alberto, et al.
Published: (2024)

Clarification Is Not Enough: Post-Clarification Answering Remains the Bottleneck in Multi-Turn QA
by: Su, Jinyan, et al.
Published: (2026)

Generating Clarification Questions for Disambiguating Contracts
by: Singhal, Anmol, et al.
Published: (2024)