Image de couverture de livre

Orthographic Constraint Satisfaction and Human Difficulty Alignment in Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tuck, Bryan E., Verma, Rakesh M.
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Unmasking the Imposters: How Censorship and Domain Adaptation Affect the Detection of Machine-Generated Tweets
par: Tuck, Bryan E., et autres
Publié: (2024)

Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance
par: Tuck, Bryan E., et autres
Publié: (2025)

Semantic, Orthographic, and Phonological Biases in Humans' Wordle Gameplay
par: Liang, Jiadong, et autres
Publié: (2024)

Modeling Orthographic Variation in Occitan's Dialects
par: Hopton, Zachary William, et autres
Publié: (2024)

ZPD Detector: Data Selection via Capability-Difficulty Alignment for Large Language Models
par: Yang, Bo, et autres
Publié: (2026)

Whispering in Norwegian: Navigating Orthographic and Dialectic Challenges
par: Kummervold, Per E, et autres
Publié: (2024)

The Role of Orthographic Consistency in Multilingual Embedding Models for Text Classification in Arabic-Script Languages
par: Abdullah, Abdulhady Abas, et autres
Publié: (2025)

Towards Orthographically-Informed Evaluation of Speech Recognition Systems for Indian Languages
par: Bhogale, Kaushal Santosh, et autres
Publié: (2026)

On the Alignment of Large Language Models with Global Human Opinion
par: Liu, Yang, et autres
Publié: (2025)

A Reality Check of Language Models as Formalizers on Constraint Satisfaction Problems
par: Amonkar, Rikhil, et autres
Publié: (2025)

Clarifying orthography: Orthographic transparency as compressibility
par: Torres, Charles J., et autres
Publié: (2025)

DAST: Difficulty-Aware Self-Training on Large Language Models
par: Xue, Boyang, et autres
Publié: (2025)

Induced Numerical Instability: Hidden Costs in Multimodal Large Language Models
par: Wong, Wai Tuck, et autres
Publié: (2026)

Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction
par: Li, Ming, et autres
Publié: (2025)

Modeling Orthographic Variation Improves NLP Performance for Nigerian Pidgin
par: Lin, Pin-Jie, et autres
Publié: (2024)

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach
par: Yang, Han, et autres
Publié: (2025)

Probing the Difficulty Perception Mechanism of Large Language Models
par: Lee, Sunbowen, et autres
Publié: (2025)

Coordinated Semantic Alignment and Evidence Constraints for Retrieval-Augmented Generation with Large Language Models
par: Chen, Xin, et autres
Publié: (2026)

SocialGaze: Improving the Integration of Human Social Norms in Large Language Models
par: Vijjini, Anvesh Rao, et autres
Publié: (2024)

Toward Trustworthy Difficulty Assessments: Large Language Models as Judges in Programming and Synthetic Tasks
par: Tabib, H. M. Shadman, et autres
Publié: (2025)

3ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models
par: Zhan, Shaoxiong, et autres
Publié: (2026)

LR^2Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction Problems
par: Chen, Jianghao, et autres
Publié: (2025)

Comparing Human and Language Models Sentence Processing Difficulties on Complex Structures
par: Amouyal, Samuel Joseph, et autres
Publié: (2025)

Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn't
par: Taguchi, Chihiro, et autres
Publié: (2024)

The Pitfalls of Publishing in the Age of LLMs: Strange and Surprising Adventures with a High-Impact NLP Journal
par: Verma, Rakesh M., et autres
Publié: (2024)

Pairing Orthographically Variant Literary Words to Standard Equivalents Using Neural Edit Distance Models
par: Messner, Craig, et autres
Publié: (2024)

Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models
par: Zhang, Ze Yu, et autres
Publié: (2024)

Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty
par: Jain, Yoshee, et autres
Publié: (2025)

Human-Alignment and Calibration of Inference-Time Uncertainty in Large Language Models
par: Moore, Kyle, et autres
Publié: (2025)

English to Central Kurdish Speech Translation: Corpus Creation, Evaluation, and Orthographic Standardization
par: Mohammadamini, Mohammad, et autres
Publié: (2026)

LINGOLY-TOO: Disentangling Reasoning from Knowledge with Templatised Orthographic Obfuscation
par: Khouja, Jude, et autres
Publié: (2025)

Teochew-Wild: The First In-the-wild Teochew Dataset with Orthographic Annotations
par: Pan, Linrong, et autres
Publié: (2025)

Autoencoder-Based Framework to Capture Vocabulary Quality in NLP
par: Dang, Vu Minh Hoang, et autres
Publié: (2025)

Personality Alignment of Large Language Models
par: Zhu, Minjun, et autres
Publié: (2024)

Pedagogical Alignment of Large Language Models
par: Sonkar, Shashank, et autres
Publié: (2024)

Question Difficulty Estimation for Large Language Models via Answer Plausibility Scoring
par: Mozafari, Jamshid, et autres
Publié: (2026)

Contextual Compression in Retrieval-Augmented Generation for Large Language Models: A Survey
par: Verma, Sourav
Publié: (2024)

Diverse Human Value Alignment for Large Language Models via Ethical Reasoning
par: Wang, Jiahao, et autres
Publié: (2025)

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
par: Zhang, Shuo, et autres
Publié: (2023)

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
par: Yuksekgonul, Mert, et autres
Publié: (2023)