Saved in:
| Main Authors: | Klimaszewski, Mateusz, Andruszkiewicz, Piotr |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.23721 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation
by: Klimaszewski, Mateusz, et al.
Published: (2024)
by: Klimaszewski, Mateusz, et al.
Published: (2024)
No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement
by: Klimaszewski, Mateusz, et al.
Published: (2024)
by: Klimaszewski, Mateusz, et al.
Published: (2024)
The Data-Quality Illusion: Rethinking Classifier-Based Quality Filtering for LLM Pretraining
by: Saada, Thiziri Nait, et al.
Published: (2025)
by: Saada, Thiziri Nait, et al.
Published: (2025)
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
by: Gao, Fan, et al.
Published: (2023)
by: Gao, Fan, et al.
Published: (2023)
The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education
by: Xu, Paiheng, et al.
Published: (2024)
by: Xu, Paiheng, et al.
Published: (2024)
EuroGEST: Investigating gender stereotypes in multilingual language models
by: Rowe, Jacqueline, et al.
Published: (2025)
by: Rowe, Jacqueline, et al.
Published: (2025)
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia
by: Ando, Kenichiro, et al.
Published: (2023)
by: Ando, Kenichiro, et al.
Published: (2023)
A Survey of Text Style Transfer: Applications and Ethical Implications
by: Mukherjee, Sourabrata, et al.
Published: (2024)
by: Mukherjee, Sourabrata, et al.
Published: (2024)
How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP
by: Tatariya, Kushal, et al.
Published: (2024)
by: Tatariya, Kushal, et al.
Published: (2024)
Position: On the Methodological Pitfalls of Evaluating Base LLMs for Reasoning
by: Chan, Jason, et al.
Published: (2025)
by: Chan, Jason, et al.
Published: (2025)
The Pitfalls of Defining Hallucination
by: van Deemter, Kees
Published: (2024)
by: van Deemter, Kees
Published: (2024)
The Rise of AI-Generated Content in Wikipedia
by: Brooks, Creston, et al.
Published: (2024)
by: Brooks, Creston, et al.
Published: (2024)
Team "better_call_claude": Style Change Detection using a Sequential Sentence Pair Classifier
by: Schmidt, Gleb, et al.
Published: (2025)
by: Schmidt, Gleb, et al.
Published: (2025)
Multilingual Reference Need Assessment System for Wikipedia
by: Baigutanova, Aitolkyn, et al.
Published: (2026)
by: Baigutanova, Aitolkyn, et al.
Published: (2026)
Utilize Transformers for translating Wikipedia category names
by: Ta, Hoang-Thang, et al.
Published: (2024)
by: Ta, Hoang-Thang, et al.
Published: (2024)
Edisum: Summarizing and Explaining Wikipedia Edits at Scale
by: Šakota, Marija, et al.
Published: (2024)
by: Šakota, Marija, et al.
Published: (2024)
Pitfalls and Outlooks in Using COMET
by: Zouhar, Vilém, et al.
Published: (2024)
by: Zouhar, Vilém, et al.
Published: (2024)
ViWikiFC: Fact-Checking for Vietnamese Wikipedia-Based Textual Knowledge Source
by: Le, Hung Tuan, et al.
Published: (2024)
by: Le, Hung Tuan, et al.
Published: (2024)
Hierarchical Memory Organization for Wikipedia Generation
by: Yu, Eugene J., et al.
Published: (2025)
by: Yu, Eugene J., et al.
Published: (2025)
Toxic comments reduce the activity of volunteer editors on Wikipedia
by: Smirnov, Ivan, et al.
Published: (2023)
by: Smirnov, Ivan, et al.
Published: (2023)
It is Too Many Options: Pitfalls of Multiple-Choice Questions in Generative AI and Medical Education
by: Singh, Shrutika, et al.
Published: (2025)
by: Singh, Shrutika, et al.
Published: (2025)
Characterizing Knowledge Manipulation in a Russian Wikipedia Fork
by: Trokhymovych, Mykola, et al.
Published: (2025)
by: Trokhymovych, Mykola, et al.
Published: (2025)
WINELL: Wikipedia Never-Ending Updating with LLM Agents
by: Reddy, Revanth Gangi, et al.
Published: (2025)
by: Reddy, Revanth Gangi, et al.
Published: (2025)
Capturing Style in Author and Document Representation
by: Terreau, Enzo, et al.
Published: (2024)
by: Terreau, Enzo, et al.
Published: (2024)
Wikipedia in the Era of LLMs: Evolution and Risks
by: Huang, Siming, et al.
Published: (2025)
by: Huang, Siming, et al.
Published: (2025)
LLM with Relation Classifier for Document-Level Relation Extraction
by: Li, Xingzuo, et al.
Published: (2024)
by: Li, Xingzuo, et al.
Published: (2024)
Detecting Sockpuppetry on Wikipedia Using Meta-Learning
by: Raszewski, Luc, et al.
Published: (2025)
by: Raszewski, Luc, et al.
Published: (2025)
An Open Multilingual System for Scoring Readability of Wikipedia
by: Trokhymovych, Mykola, et al.
Published: (2024)
by: Trokhymovych, Mykola, et al.
Published: (2024)
Train a Unified Multimodal Data Quality Classifier with Synthetic Data
by: Wang, Weizhi, et al.
Published: (2025)
by: Wang, Weizhi, et al.
Published: (2025)
Automatic Construction of a Large-Scale Corpus for Geoparsing Using Wikipedia Hyperlinks
by: Ohno, Keyaki, et al.
Published: (2024)
by: Ohno, Keyaki, et al.
Published: (2024)
Talking to oneself in CMC: a study of self replies in Wikipedia talk pages
by: Tanguy, Ludovic, et al.
Published: (2024)
by: Tanguy, Ludovic, et al.
Published: (2024)
Uncovering Differences in Persuasive Language in Russian versus English Wikipedia
by: Li, Bryan, et al.
Published: (2024)
by: Li, Bryan, et al.
Published: (2024)
Proper Noun Diacritization for Arabic Wikipedia: A Benchmark Dataset
by: Bondok, Rawan, et al.
Published: (2025)
by: Bondok, Rawan, et al.
Published: (2025)
Bias in News Summarization: Measures, Pitfalls and Corpora
by: Steen, Julius, et al.
Published: (2023)
by: Steen, Julius, et al.
Published: (2023)
Pitfalls of Evaluating Language Models with Open Benchmarks
by: Hasan, Md. Najib, et al.
Published: (2025)
by: Hasan, Md. Najib, et al.
Published: (2025)
How Grounded is Wikipedia? A Study on Structured Evidential Support and Retrieval
by: Walden, William, et al.
Published: (2025)
by: Walden, William, et al.
Published: (2025)
Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
by: Semnani, Sina J., et al.
Published: (2025)
by: Semnani, Sina J., et al.
Published: (2025)
Analysing the Safety Pitfalls of Steering Vectors
by: Li, Yuxiao, et al.
Published: (2026)
by: Li, Yuxiao, et al.
Published: (2026)
Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles
by: Pu, Xiao, et al.
Published: (2024)
by: Pu, Xiao, et al.
Published: (2024)
Pitfalls of Conversational LLMs on News Debiasing
by: Schlicht, Ipek Baris, et al.
Published: (2024)
by: Schlicht, Ipek Baris, et al.
Published: (2024)
Similar Items
-
Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation
by: Klimaszewski, Mateusz, et al.
Published: (2024) -
No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement
by: Klimaszewski, Mateusz, et al.
Published: (2024) -
The Data-Quality Illusion: Rethinking Classifier-Based Quality Filtering for LLM Pretraining
by: Saada, Thiziri Nait, et al.
Published: (2025) -
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
by: Gao, Fan, et al.
Published: (2023) -
The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education
by: Xu, Paiheng, et al.
Published: (2024)