Imagen de Portada

Linguistic Blind Spots of Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cheng, Jiali, Amiri, Hadi
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Linguistic Blind Spots in Clinical Decision Extraction
por: Elgaar, Mohamed, et al.
Publicado: (2026)

Tool Unlearning for Tool-Augmented LLMs
por: Cheng, Jiali, et al.
Publicado: (2025)

FairFlow: Mitigating Dataset Biases through Undecided Learning
por: Cheng, Jiali, et al.
Publicado: (2025)

EqualizeIR: Mitigating Linguistic Biases in Retrieval Models
por: Cheng, Jiali, et al.
Publicado: (2025)

Understanding Machine Unlearning Through the Lens of Mode Connectivity
por: Cheng, Jiali, et al.
Publicado: (2025)

MultiDelete for Multimodal Machine Unlearning
por: Cheng, Jiali, et al.
Publicado: (2023)

Do Students Debias Like Teachers? On the Distillability of Bias Mitigation Methods
por: Cheng, Jiali, et al.
Publicado: (2025)

Unveil Multi-Picture Descriptions for Multilingual Mild Cognitive Impairment Detection via Contrastive Learning
por: Qi, Kristin, et al.
Publicado: (2025)

Toward Understanding Unlearning Difficulty: A Mechanistic Perspective and Circuit-Guided Difficulty Metric
por: Cheng, Jiali, et al.
Publicado: (2026)

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models
por: Tsui, Ken
Publicado: (2025)

Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds
por: Basmov, Victoria, et al.
Publicado: (2023)

MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
por: Cheng, Jiali, et al.
Publicado: (2024)

CURE:Circuit-Aware Unlearning for LLM-based Recommendation
por: Chen, Ziheng, et al.
Publicado: (2026)

Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation
por: Nadeem, Mohammad, et al.
Publicado: (2024)

Speech Unlearning
por: Cheng, Jiali, et al.
Publicado: (2025)

Perceptions of Linguistic Uncertainty by Language Models and Humans
por: Belem, Catarina G, et al.
Publicado: (2024)

LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions
por: Askari, Hadi, et al.
Publicado: (2025)

Concurrent Linguistic Error Detection (CLED): a New Methodology for Error Detection in Large Language Models
por: Zhu, Jinhua, et al.
Publicado: (2024)

Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models
por: Nahin, Shahriar Kabir, et al.
Publicado: (2025)

AraLingBench A Human-Annotated Benchmark for Evaluating Arabic Linguistic Capabilities of Large Language Models
por: Zbeeb, Mohammad, et al.
Publicado: (2025)

Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck?
por: Renduchintala, H S V N S Kowndinya, et al.
Publicado: (2026)

Multi-Objective Large Language Model Unlearning
por: Pan, Zibin, et al.
Publicado: (2024)

Positional Failures in Long-Context LLMs: A Blind Spot in Reasoning Benchmarks
por: Zhang, Chuyifei, et al.
Publicado: (2026)

Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI
por: Saha, Agnik, et al.
Publicado: (2025)

Liger: Linearizing Large Language Models to Gated Recurrent Structures
por: Lan, Disen, et al.
Publicado: (2025)

CultureLLM: Incorporating Cultural Differences into Large Language Models
por: Li, Cheng, et al.
Publicado: (2024)

Scalable Token-Level Hallucination Detection in Large Language Models
por: Min, Rui, et al.
Publicado: (2026)

Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly
por: Méndez, Silvia García, et al.
Publicado: (2024)

IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages?
por: Aravapalli, Akhilesh, et al.
Publicado: (2024)

API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
por: Su, Jiayuan, et al.
Publicado: (2024)

On Calibration of Large Language Models: From Response To Capability
por: Yang, Sin-Han, et al.
Publicado: (2026)

Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots
por: Shayegani, Erfan, et al.
Publicado: (2025)

A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models
por: Yuan, Yefeng, et al.
Publicado: (2024)

Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases
por: Hu, Michael Y., et al.
Publicado: (2025)

Probabilistic Token Alignment for Large Language Model Fusion
por: Zeng, Runjia, et al.
Publicado: (2025)

Optimal Singular Damage: Efficient LLM Inference in Low Storage Regimes
por: Alipour, Mohammadsajad, et al.
Publicado: (2025)

AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models
por: Yeh, Cheng-Kai, et al.
Publicado: (2025)

Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion
por: Liu, Ben, et al.
Publicado: (2024)

Foundations of Large Language Models
por: Xiao, Tong, et al.
Publicado: (2025)

Large Language Model Unlearning
por: Yao, Yuanshun, et al.
Publicado: (2023)