Cover Image

Representation-based Broad Hallucination Detectors Fail to Generalize Out of Distribution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dubanowska, Zuzanna, Żelaszczyk, Maciej, Brzozowski, Michał, Mandica, Paolo, Karpowicz, Michał
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GPart: End-to-End Isometric Fine-Tuning via Global Parameter Partitioning
by: Mandica, Paolo, et al.
Published: (2026)

On the Fundamental Impossibility of Hallucination Control in Large Language Models
by: Karpowicz, Michał P.
Published: (2025)

Reading the Finetuning Prior: Verbatim Content Recovery via Contrastive Decoding Diffing
by: Brzozowski, Michał, et al.
Published: (2026)

Hyperbolic Learning with Multimodal Large Language Models
by: Mandica, Paolo, et al.
Published: (2024)

Deceptive Risk Minimization: Out-of-Distribution Generalization by Deceiving Distribution Shift Detectors
by: Majumdar, Anirudha
Published: (2025)

Generalized Inverses of Matrix Products: From Fundamental Subspaces to Randomized Decompositions
by: Karpowicz, Michał P., et al.
Published: (2026)

Contrastive Representations for Temporal Reasoning
by: Ziarko, Alicja, et al.
Published: (2025)

Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
by: Guille-Escuret, Charles, et al.
Published: (2023)

Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs
by: Ding, Pengfei, et al.
Published: (2024)

Interpretable Multi-task Learning with Shared Variable Embeddings
by: Żelaszczyk, Maciej, et al.
Published: (2024)

WineGraph: A Graph Representation For Food-Wine Pairing
by: Gawrysiak, Zuzanna, et al.
Published: (2024)

Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations
by: Yao, Yue, et al.
Published: (2024)

Sparsity and Out-of-Distribution Generalization
by: Aaronson, Scott, et al.
Published: (2026)

Text-to-Image Cross-Modal Generation: A Systematic Review
by: Żelaszczyk, Maciej, et al.
Published: (2024)

Subgraph Generation for Generalizing on Out-of-Distribution Links
by: Revolinsky, Jay, et al.
Published: (2025)

The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
by: Kosowski, Adrian, et al.
Published: (2025)

Evaluating Generalization and Representation Stability in Small LMs via Prompting, Fine-Tuning and Out-of-Distribution Prompts
by: Raja, Rahul, et al.
Published: (2025)

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs
by: Wang, Song, et al.
Published: (2025)

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
by: Wang, Song, et al.
Published: (2025)

Out-of-Distribution Generalization for Neural Physics Solvers
by: Wei, Zhao, et al.
Published: (2026)

Pseudo-label Induced Subspace Representation Learning for Robust Out-of-Distribution Detection
by: Azad, Tarhib Al, et al.
Published: (2025)

Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
by: Kaur, Jivat Neet, et al.
Published: (2022)

Towards consistency of rule-based explainer and black box model -- fusion of rule induction and XAI-based feature importance
by: Kozielski, Michał, et al.
Published: (2024)

Attend or Perish: Benchmarking Attention in Algorithmic Reasoning
by: Spiegel, Michal, et al.
Published: (2025)

Out-of-Distribution Generalization in Time Series: A Survey
by: Wu, Xin, et al.
Published: (2025)

DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization
by: Sun, Xin, et al.
Published: (2024)

Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
by: Guo, Kai, et al.
Published: (2024)

Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
by: Fan, Shaohua, et al.
Published: (2021)

Representation Invariance and Allocation: When Subgroup Balance Matters
by: Alloula, Anissa, et al.
Published: (2025)

STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization
by: Zhang, Haoyu, et al.
Published: (2025)

Feature Bank Enhancement for Distance-based Out-of-Distribution Detection
by: Liu, Yuhang, et al.
Published: (2025)

Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models
by: Ding, Zeyang, et al.
Published: (2026)

In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
by: Soltanieh, Sahar, et al.
Published: (2023)

Generalization in Neural Networks: A Broad Survey
by: Rohlfs, Chris
Published: (2022)

Trustworthy Retrosynthesis: Eliminating Hallucinations with a Diverse Ensemble of Reaction Scorers
by: Sadowski, Michal, et al.
Published: (2025)

Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
by: Panda, Deepak Kumar, et al.
Published: (2025)

Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
by: Mao, Wenyu, et al.
Published: (2024)

Score-based Conditional Out-of-Distribution Augmentation for Graph Covariate Shift
by: Wang, Bohan, et al.
Published: (2024)

Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Compression of Deep Neural Networks
by: Cichocki, Andrzej, et al.
Published: (2026)

Pseudodata-guided Invariant Representation Learning Boosts the Out-of-Distribution Generalization in Enzymatic Kinetic Parameter Prediction
by: Wu, Haomin, et al.
Published: (2026)