Cover Image

How Hypocritical Is Your LLM judge? Listener-Speaker Asymmetries in the Pragmatic Competence of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sieker, Judith, Zarrieß, Sina
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 BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models
by: Askari, Raha, et al.
Published: (2025)

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

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)

Reference Games as a Testbed for the Alignment of Model Uncertainty and Clarification Requests
by: Ali, Manar, et al.
Published: (2026)

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

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)

Communicating with Speakers and Listeners of Different Pragmatic Levels
by: Naszadi, Kata, et al.
Published: (2024)

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

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)

The Pragmatic Mind of Machines: Tracing the Emergence of Pragmatic Competence in Large Language Models
by: Yu, Kefan, et al.
Published: (2025)

Pragmatic Competence Evaluation of Large Language Models for the Korean Language
by: Park, Dojun, et al.
Published: (2024)

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

Are Large Language Models Moral Hypocrites? A Study Based on Moral Foundations
by: Nunes, José Luiz, et al.
Published: (2024)

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)

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

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)

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)

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)

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)

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

Vision-Language Models Are Not Pragmatically Competent in Referring Expression Generation
by: Ma, Ziqiao, et al.
Published: (2025)

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

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

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

Mining for Species, Locations, Habitats, and Ecosystems from Scientific Papers in Invasion Biology: A Large-Scale Exploratory Study with Large Language Models
by: D'Souza, Jennifer, et al.
Published: (2025)

Language Models are Bounded Pragmatic Speakers: Understanding RLHF from a Bayesian Cognitive Modeling Perspective
by: Nguyen, Khanh
Published: (2023)

Listen Then See: Video Alignment with Speaker Attention
by: Agrawal, Aviral, et al.
Published: (2024)

Measuring Pragmatic Influence in Large Language Model Instructions
by: Geng, Yilin, et al.
Published: (2026)

Self-rationalization improves LLM as a fine-grained judge
by: Trivedi, Prapti, et al.
Published: (2024)

MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models
by: Park, Dojun, et al.
Published: (2024)

Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment
by: Zhang, Xiaotian, et al.
Published: (2025)

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)

An LLM-as-a-judge Approach for Scalable Gender-Neutral Translation Evaluation
by: Piergentili, Andrea, et al.
Published: (2025)

Evaluating Pragmatic Reasoning in Large Language Models: Evidence from Scalar Diversity
by: Cho, Ye-eun
Published: (2026)

WMT24 Test Suite: Gender Resolution in Speaker-Listener Dialogue Roles
by: Dawkins, Hillary, et al.
Published: (2024)