:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	van Dam, Kellen Parker, Stephen, Abishek
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	https://arxiv.org/abs/2510.21584
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Unstable Grounds for Beautiful Trees? Testing the Robustness of Concept Translations in the Compilation of Multilingual Wordlists
par: Snee, David, et autres
Publié: (2025)

Annotating and Inferring Compositional Structures in Numeral Systems Across Languages
par: Rubehn, Arne, et autres
Publié: (2025)

Phonotactic Complexity across Dialects
par: Shim, Ryan Soh-Eun, et autres
Publié: (2024)

Towards High-Quality Machine Translation for Kokborok: A Low-Resource Tibeto-Burman Language of Northeast India
par: Nyalang, Badal, et autres
Publié: (2026)

Learning Phonotactics from Linguistic Informants
par: Breiss, Canaan, et autres
Publié: (2024)

Self-Supervised Borrowing Detection on Multilingual Wordlists
par: Wientzek, Tim
Publié: (2025)

Evaluating Morphological Plausibility of Subword Tokenization via Statistical Alignment with Morpho-Syntactic Features
par: Stephen, Abishek, et autres
Publié: (2026)

Trimming Phonetic Alignments Improves the Inference of Sound Correspondence Patterns from Multilingual Wordlists
par: Blum, Frederic, et autres
Publié: (2023)

On Finding Inconsistencies in Documents
par: Lovering, Charles J., et autres
Publié: (2025)

How communicatively optimal are exact numeral systems? Once more on lexicon size and morphosyntactic complexity
par: Cathcart, Chundra, et autres
Publié: (2026)

Misleading through Inconsistency: A Benchmark for Political Inconsistencies Detection
par: Sagimbayeva, Nursulu, et autres
Publié: (2025)

FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document
par: Yang, Joonho, et autres
Publié: (2024)

Multitask Fine-Tuning and Generative Adversarial Learning for Improved Auxiliary Classification
par: Sun, Christopher, et autres
Publié: (2024)

Improved Evidence Extraction and Metrics for Document Inconsistency Detection with LLMs
par: Tan, Nelvin, et autres
Publié: (2026)

Fast and Accurate Factual Inconsistency Detection Over Long Documents
par: Lattimer, Barrett Martin, et autres
Publié: (2023)

Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
par: Semnani, Sina J., et autres
Publié: (2025)

Human-like fleeting memory improves language learning but impairs reading time prediction in transformer language models
par: Thamma, Abishek, et autres
Publié: (2025)

Inconsistencies in Masked Language Models
par: Young, Tom, et autres
Publié: (2022)

DRIFT: Detecting Representational Inconsistencies for Factual Truthfulness
par: Bhatnagar, Rohan, et autres
Publié: (2026)

SynLexLM: Scaling Legal LLMs with Synthetic Data and Curriculum Learning
par: Upadhyay, Ojasw, et autres
Publié: (2025)

Measuring the Inconsistency of Large Language Models in Preferential Ranking
par: Zhao, Xiutian, et autres
Publié: (2024)

Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0
par: Kloots, Marianne de Heer, et autres
Publié: (2024)

Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study
par: van Dam, Tim, et autres
Publié: (2024)

Measuring Moral Inconsistencies in Large Language Models
par: Bonagiri, Vamshi Krishna, et autres
Publié: (2024)

PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise
par: Harary, Sapir, et autres
Publié: (2025)

Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges
par: Samuel, Vinay, et autres
Publié: (2024)

Discourse-Driven Evaluation: Unveiling Factual Inconsistency in Long Document Summarization
par: Zhong, Yang, et autres
Publié: (2025)

Prompt-Reverse Inconsistency: LLM Self-Inconsistency Beyond Generative Randomness and Prompt Paraphrasing
par: Ahn, Jihyun Janice, et autres
Publié: (2025)

Addressing Tokenization Inconsistency in Steganography and Watermarking Based on Large Language Models
par: Yan, Ruiyi, et autres
Publié: (2025)

Evaluating Knowledge-based Cross-lingual Inconsistency in Large Language Models
par: Xing, Xiaolin, et autres
Publié: (2024)

SIFiD: Reassess Summary Factual Inconsistency Detection with LLM
par: Yang, Jiuding, et autres
Publié: (2024)

Multimodal Language Models Cannot Spot Spatial Inconsistencies
par: Khangaonkar, Om, et autres
Publié: (2026)

Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models
par: Wang, Mingyang, et autres
Publié: (2025)

Losing Phonotactic Distinctions in Context
par: John R. Starr, et autres
Publié: (2025)

Legal Document Summarization: Enhancing Judicial Efficiency through Automation Detection
par: Li, Yongjie, et autres
Publié: (2025)

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
par: Li, Mingda, et autres
Publié: (2024)

Localizing Factual Inconsistencies in Attributable Text Generation
par: Cattan, Arie, et autres
Publié: (2024)

Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency
par: Zhao, Shiji, et autres
Publié: (2025)

Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar
par: Gambardella, Andrew, et autres
Publié: (2025)

Large Language Models for Document-Level Event-Argument Data Augmentation for Challenging Role Types
par: Gatto, Joseph, et autres
Publié: (2024)