:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Reusens, Manon, Goethals, Sofie, Calders, Toon, Martens, David
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2602.09802
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cash or Comfort? How LLMs Value Your Inconvenience
by: Cedro, Mateusz, et al.
Published: (2025)

Don't Pay Attention
by: Hammoud, Mohammad, et al.
Published: (2025)

Pay Attention to What Matters
by: Silva, Pedro Luiz, et al.
Published: (2024)

Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model
by: Zhang, Hongbin, et al.
Published: (2024)

Reranking individuals: The effect of fair classification within-groups
by: Goethals, Sofie, et al.
Published: (2024)

Prompt-Counterfactual Explanations for Generative AI System Behavior
by: Goethals, Sofie, et al.
Published: (2026)

On the Performance of LLMs for Real Estate Appraisal
by: Geerts, Margot, et al.
Published: (2025)

Large Language Models for Multi-Choice Question Classification of Medical Subjects
by: Ponce-López, Víctor
Published: (2024)

Pay Attention to What You Need
by: Gao, Yifei, et al.
Published: (2023)

FairFlow: An Automated Approach to Model-based Counterfactual Data Augmentation For NLP
by: Tokpo, Ewoenam Kwaku, et al.
Published: (2024)

The Basic B*** Effect: The Use of LLM-based Agents Reduces the Distinctiveness and Diversity of People's Choices
by: Matz, Sandra C., et al.
Published: (2025)

Pay Attention to Real World Perturbations! Natural Robustness Evaluation in Machine Reading Comprehension
by: Wu, Yulong, et al.
Published: (2025)

Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs
by: Reusens, Manon, et al.
Published: (2025)

Auditing Pay-Per-Token in Large Language Models
by: Velasco, Ander Artola, et al.
Published: (2025)

Pay What LLM Wants: Can LLM Simulate Economics Experiment with 522 Real-human Persona?
by: Choi, Junhyuk, et al.
Published: (2025)

Paying Attention to Deflections: Mining Pragmatic Nuances for Whataboutism Detection in Online Discourse
by: Phi, Khiem, et al.
Published: (2024)

How to be fair? A study of label and selection bias
by: Favier, Marco, et al.
Published: (2024)

On the Importance and Evaluation of Narrativity in Natural Language AI Explanations
by: Cedro, Mateusz, et al.
Published: (2026)

Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance
by: Reusens, Manon, et al.
Published: (2024)

Why Would You Suggest That? Human Trust in Language Model Responses
by: Sharma, Manasi, et al.
Published: (2024)

Can Large Language Models Infer Causation from Correlation?
by: Jin, Zhijing, et al.
Published: (2023)

A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Models
by: Mahadevan, Sridhar
Published: (2025)

Self-Correcting Large Language Models: Generation vs. Multiple Choice
by: Rahmani, Hossein A., et al.
Published: (2025)

Perspective Transition of Large Language Models for Solving Subjective Tasks
by: Wang, Xiaolong, et al.
Published: (2025)

What's in an embedding? Would a rose by any embedding smell as sweet?
by: Venkatasubramanian, Venkat
Published: (2024)

Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses
by: Eo, Sugyeong, et al.
Published: (2026)

Exploring the Performance of Large Language Models on Subjective Span Identification Tasks
by: Dmonte, Alphaeus, et al.
Published: (2026)

Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors
by: Chochlakis, Georgios, et al.
Published: (2024)

Dhati+: Fine-tuned Large Language Models for Arabic Subjectivity Evaluation
by: Bellaouar, Slimane, et al.
Published: (2025)

UniMem: Towards a Unified View of Long-Context Large Language Models
by: Fang, Junjie, et al.
Published: (2024)

Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights
by: Biancini, Giorgio, et al.
Published: (2025)

Robust Knowledge Extraction from Large Language Models using Social Choice Theory
by: Potyka, Nico, et al.
Published: (2023)

Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
by: Sgouritsa, Eleni, et al.
Published: (2024)

dInfer: An Efficient Inference Framework for Diffusion Language Models
by: Ma, Yuxin, et al.
Published: (2025)

Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
by: Zhang, Jun, et al.
Published: (2025)

Exploring Lightweight Large Language Models for Court View Generation
by: Hou, Zhitian, et al.
Published: (2026)

Exploring the generalization of LLM truth directions on conversational formats
by: Ichmoukhamedov, Timour, et al.
Published: (2025)

Towards Locally Deployable Fine-Tuned Causal Large Language Models for Mode Choice Behaviour
by: Alsaleh, Tareq, et al.
Published: (2025)

Balancing Rigor and Utility: Mitigating Cognitive Biases in Large Language Models for Multiple-Choice Questions
by: Zhong, Hanyang, et al.
Published: (2024)

Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
by: Bao, Qiming, et al.
Published: (2023)