Cover Image

Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kirchhof, Michael, Kasneci, Gjergji, Kasneci, Enkelejda
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers
by: Kasneci, Gjergji, et al.
Published: (2024)

Sycophancy is an Educational Safety Risk: Why LLM Tutors Need Sycophancy Benchmarks
by: Kasneci, Enkelejda, et al.
Published: (2026)

Emergent Abilities in Large Language Models: A Survey
by: Berti, Leonardo, et al.
Published: (2025)

Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers
by: Leemann, Tobias, et al.
Published: (2024)

CURE: Controlled Unlearning for Robust Embeddings -- Mitigating Conceptual Shortcuts in Pre-Trained Language Models
by: Kocak, Aysenur, et al.
Published: (2025)

Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
by: Dhaini, Mahdi, et al.
Published: (2025)

EvalxNLP: A Framework for Benchmarking Post-Hoc Explainability Methods on NLP Models
by: Dhaini, Mahdi, et al.
Published: (2025)

Stepwise Self-Consistent Mathematical Reasoning with Large Language Models
by: Zhao, Zilong, et al.
Published: (2024)

Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization
by: Yang, Shuo, et al.
Published: (2024)

Multimodal Behavioral Patterns Analysis with Eye-Tracking and LLM-Based Reasoning
by: Guo, Dongyang, et al.
Published: (2025)

Understanding Knowledge Drift in LLMs through Misinformation
by: Fastowski, Alina, et al.
Published: (2024)

Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models
by: Yuan, Chenchen, et al.
Published: (2026)

Pretrained Visual Uncertainties
by: Kirchhof, Michael, et al.
Published: (2024)

TLOB: A Novel Transformer Model with Dual Attention for Price Trend Prediction with Limit Order Book Data
by: Berti, Leonardo, et al.
Published: (2025)

From Confidence to Collapse in LLM Factual Robustness
by: Fastowski, Alina, et al.
Published: (2025)

Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
by: Abramov, Roman, et al.
Published: (2025)

MemeScouts@LT-EDI 2026: Asking the Right Questions -- Prompted Weak Supervision for Meme Hate Speech Detection
by: Bueno, Ivo, et al.
Published: (2026)

Benchmarking Large Language Models for Math Reasoning Tasks
by: Seßler, Kathrin, et al.
Published: (2024)

Consolidating Rewarded Perturbations for LLM Post-Training
by: Zhang, Zheyu, et al.
Published: (2026)

RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting
by: Yang, Shuo, et al.
Published: (2024)

I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data
by: Leemann, Tobias, et al.
Published: (2022)

Multimodal Assessment of Classroom Discourse Quality: A Text-Centered Attention-Based Multi-Task Learning Approach
by: Hou, Ruikun, et al.
Published: (2025)

Can AI grade your essays? A comparative analysis of large language models and teacher ratings in multidimensional essay scoring
by: Seßler, Kathrin, et al.
Published: (2024)

Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
by: Santilli, Andrea, et al.
Published: (2025)

Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models
by: Yuan, Chenchen, et al.
Published: (2025)

Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features
by: Rong, Yao, et al.
Published: (2024)

Exploring User Acceptance and Concerns toward LLM-powered Conversational Agents in Immersive Extended Reality
by: Bozkir, Efe, et al.
Published: (2025)

Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models
by: Zhang, Zheyu, et al.
Published: (2025)

I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
by: Rong, Yao, et al.
Published: (2023)

Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs
by: Yang, Shuo, et al.
Published: (2025)

Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
by: Zhang, Zheyu, et al.
Published: (2026)

Moral Lenses, Political Coordinates: Towards Ideological Positioning of Morally Conditioned LLMs
by: Yuan, Chenchen, et al.
Published: (2026)

Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study
by: Dhaini, Mahdi, et al.
Published: (2025)

The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
by: Xiao, Quan, et al.
Published: (2025)

Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and Challenges
by: Dhaini, Mahdi, et al.
Published: (2025)

Injecting Falsehoods: Adversarial Man-in-the-Middle Attacks Undermining Factual Recall in LLMs
by: Fastowski, Alina, et al.
Published: (2025)

TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types
by: Fuhl, Wolfgang, et al.
Published: (2021)

Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education
by: Bewersdorff, Arne, et al.
Published: (2024)

Assessing the Real-World Utility of Explainable AI for Arousal Diagnostics: An Application-Grounded User Study
by: Kraft, Stefan, et al.
Published: (2025)

Entry Dependent Expert Selection in Distributed Gaussian Processes Using Multilabel Classification
by: Jalali, Hamed, et al.
Published: (2022)