Intuitionistic Fuzzy Sets for Large Language Model Data Annotation: A Novel Approach to Side-by-Side Preference Labeling
Fuente:
arXiv
Guardado en:
| Autor principal: | Du, Yimin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
por: Kahng, Minsuk, et al.
Publicado: (2024)
por: Kahng, Minsuk, et al.
Publicado: (2024)
Benchmarking Large Language Models for Cryptanalysis and Side-Channel Vulnerabilities
por: Maskey, Utsav, et al.
Publicado: (2025)
por: Maskey, Utsav, et al.
Publicado: (2025)
Target-Side Paraphrase Augmentation for Sign Language Translation with Large Language Models
por: Bianco, Pedro Dal, et al.
Publicado: (2026)
por: Bianco, Pedro Dal, et al.
Publicado: (2026)
Memory-Efficient FastText: A Comprehensive Approach Using Double-Array Trie Structures and Mark-Compact Memory Management
por: Du, Yimin
Publicado: (2025)
por: Du, Yimin
Publicado: (2025)
Whose Side Are You On? Investigating the Political Stance of Large Language Models
por: Pit, Pagnarasmey, et al.
Publicado: (2024)
por: Pit, Pagnarasmey, et al.
Publicado: (2024)
Side-by-side Comparison Amplifies Dialect Bias in Language Models
por: Kondapally, Kritee, et al.
Publicado: (2026)
por: Kondapally, Kritee, et al.
Publicado: (2026)
Large Language Models for Data Annotation and Synthesis: A Survey
por: Tan, Zhen, et al.
Publicado: (2024)
por: Tan, Zhen, et al.
Publicado: (2024)
Can Language Models Identify Side Effects of Breast Cancer Radiation Treatments?
por: Seah, Natalie, et al.
Publicado: (2026)
por: Seah, Natalie, et al.
Publicado: (2026)
Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data
por: Li, Rumeng, et al.
Publicado: (2023)
por: Li, Rumeng, et al.
Publicado: (2023)
Automatically Finding and Validating Unexpected Side-Effects of Interventions on Language Models
por: Pope, Quintin, et al.
Publicado: (2026)
por: Pope, Quintin, et al.
Publicado: (2026)
"Why" Has the Least Side Effect on Model Editing
por: Pan, Tsung-Hsuan, et al.
Publicado: (2024)
por: Pan, Tsung-Hsuan, et al.
Publicado: (2024)
Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models
por: Zhang, Tianchen, et al.
Publicado: (2024)
por: Zhang, Tianchen, et al.
Publicado: (2024)
A Coin Has Two Sides: A Novel Detector-Corrector Framework for Chinese Spelling Correction
por: Zeng, Xiangke, et al.
Publicado: (2024)
por: Zeng, Xiangke, et al.
Publicado: (2024)
A Fully Automated Pipeline for Conversational Discourse Annotation: Tree Scheme Generation and Labeling with Large Language Models
por: Petukhova, Kseniia, et al.
Publicado: (2025)
por: Petukhova, Kseniia, et al.
Publicado: (2025)
Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency
por: Aguda, Toyin, et al.
Publicado: (2024)
por: Aguda, Toyin, et al.
Publicado: (2024)
Bias in LLMs as Annotators: The Effect of Party Cues on Labelling Decision by Large Language Models
por: Vera, Sebastian Vallejo, et al.
Publicado: (2024)
por: Vera, Sebastian Vallejo, et al.
Publicado: (2024)
The Dark Side of Human Feedback: Poisoning Large Language Models via User Inputs
por: Chen, Bocheng, et al.
Publicado: (2024)
por: Chen, Bocheng, et al.
Publicado: (2024)
Steering Without Side Effects: Improving Post-Deployment Control of Language Models
por: Stickland, Asa Cooper, et al.
Publicado: (2024)
por: Stickland, Asa Cooper, et al.
Publicado: (2024)
Human Label Variation as Stable Signal: Learning Annotator-Specific Explanation Behavior via Cross-Annotator Preference Optimization
por: Chen, Beiduo, et al.
Publicado: (2026)
por: Chen, Beiduo, et al.
Publicado: (2026)
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
por: Li, Minzhi, et al.
Publicado: (2023)
por: Li, Minzhi, et al.
Publicado: (2023)
What Is Missing: Interpretable Ratings for Large Language Model Outputs
por: Stranges, Nicholas, et al.
Publicado: (2026)
por: Stranges, Nicholas, et al.
Publicado: (2026)
Improving Acoustic Side-Channel Attacks on Keyboards Using Transformers and Large Language Models
por: Park, Jin Hyun, et al.
Publicado: (2025)
por: Park, Jin Hyun, et al.
Publicado: (2025)
The Dark Side of the Language: Pre-trained Transformers in the DarkNet
por: Ranaldi, Leonardo, et al.
Publicado: (2022)
por: Ranaldi, Leonardo, et al.
Publicado: (2022)
Unique Hard Attention: A Tale of Two Sides
por: Jerad, Selim, et al.
Publicado: (2025)
por: Jerad, Selim, et al.
Publicado: (2025)
Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization
por: Zhang, Weixu, et al.
Publicado: (2026)
por: Zhang, Weixu, et al.
Publicado: (2026)
Evaluating Large Language Models as Expert Annotators
por: Tseng, Yu-Min, et al.
Publicado: (2025)
por: Tseng, Yu-Min, et al.
Publicado: (2025)
Using Source-Side Confidence Estimation for Reliable Translation into Unfamiliar Languages
por: Sible, Kenneth J., et al.
Publicado: (2025)
por: Sible, Kenneth J., et al.
Publicado: (2025)
The Curse of Popularity: Popular Entities have Catastrophic Side Effects when Deleting Knowledge from Language Models
por: Takahashi, Ryosuke, et al.
Publicado: (2024)
por: Takahashi, Ryosuke, et al.
Publicado: (2024)
Self-Boosting Large Language Models with Synthetic Preference Data
por: Dong, Qingxiu, et al.
Publicado: (2024)
por: Dong, Qingxiu, et al.
Publicado: (2024)
Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation
por: Bohnet, Bernd, et al.
Publicado: (2024)
por: Bohnet, Bernd, et al.
Publicado: (2024)
"Whose Side Are You On?" Estimating Ideology of Political and News Content Using Large Language Models and Few-shot Demonstration Selection
por: Haroon, Muhammad, et al.
Publicado: (2025)
por: Haroon, Muhammad, et al.
Publicado: (2025)
Understanding the Dark Side of LLMs' Intrinsic Self-Correction
por: Zhang, Qingjie, et al.
Publicado: (2024)
por: Zhang, Qingjie, et al.
Publicado: (2024)
The Flip Side of RLHF: On-Policy Feedback for Reward Model Self-Supervised Improvement
por: Wang, Xiaobo, et al.
Publicado: (2026)
por: Wang, Xiaobo, et al.
Publicado: (2026)
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment
por: Lee, Janghwan, et al.
Publicado: (2024)
por: Lee, Janghwan, et al.
Publicado: (2024)
Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data
por: Guo, Siqi, et al.
Publicado: (2025)
por: Guo, Siqi, et al.
Publicado: (2025)
TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
por: Yi, Deyin, et al.
Publicado: (2025)
por: Yi, Deyin, et al.
Publicado: (2025)
Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data?
por: Qi, Xuan, et al.
Publicado: (2025)
por: Qi, Xuan, et al.
Publicado: (2025)
Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge
por: Li, Jiahuan, et al.
Publicado: (2024)
por: Li, Jiahuan, et al.
Publicado: (2024)
Best Practices for Text Annotation with Large Language Models
por: Törnberg, Petter
Publicado: (2024)
por: Törnberg, Petter
Publicado: (2024)
Rethinking Emotion Annotations in the Era of Large Language Models
por: Niu, Minxue, et al.
Publicado: (2024)
por: Niu, Minxue, et al.
Publicado: (2024)
Ejemplares similares
-
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
por: Kahng, Minsuk, et al.
Publicado: (2024) -
Benchmarking Large Language Models for Cryptanalysis and Side-Channel Vulnerabilities
por: Maskey, Utsav, et al.
Publicado: (2025) -
Target-Side Paraphrase Augmentation for Sign Language Translation with Large Language Models
por: Bianco, Pedro Dal, et al.
Publicado: (2026) -
Memory-Efficient FastText: A Comprehensive Approach Using Double-Array Trie Structures and Mark-Compact Memory Management
por: Du, Yimin
Publicado: (2025) -
Whose Side Are You On? Investigating the Political Stance of Large Language Models
por: Pit, Pagnarasmey, et al.
Publicado: (2024)