Image de couverture de livre

Improving User Behavior Prediction: Leveraging Annotator Metadata in Supervised Machine Learning Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ng, Lynnette Hui Xian, Jaidka, Kokil, Tay, Kaiyuan, Ahuja, Hansin, Chhaya, Niyati
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Incivility and Rigidity: Evaluating the Risks of Fine-Tuning LLMs for Political Argumentation
par: Churina, Svetlana, et autres
Publié: (2024)

Do You Trust Me? Cognitive-Affective Signatures of Trustworthiness in Large Language Models
par: Yeo, Gerard, et autres
Publié: (2025)

On the Limitations of Steering in Language Model Alignment
par: Niranjan, Chebrolu, et autres
Publié: (2025)

From Passive to Persuasive: Localized Activation Injection for Empathy and Negotiation
par: Chebrolu, Niranjan, et autres
Publié: (2025)

Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
par: Cruickshank, Iain J., et autres
Publié: (2023)

Is your LLM trapped in a Mental Set? Investigative study on how mental sets affect the reasoning capabilities of LLMs
par: Haq, Saiful, et autres
Publié: (2025)

Are LLM-Powered Social Media Bots Realistic?
par: Ng, Lynnette Hui Xian, et autres
Publié: (2025)

DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Model
par: Cruickshank, Iain J., et autres
Publié: (2024)

Labels or Input? Rethinking Augmentation in Multimodal Hate Detection
par: Singh, Sahajpreet, et autres
Publié: (2025)

BotSim: Mitigating The Formation Of Conspiratorial Societies with Useful Bots
par: Ng, Lynnette Hui Xian, et autres
Publié: (2026)

What is a Social Media Bot? A Global Comparison of Bot and Human Characteristics
par: Ng, Lynnette Hui Xian, et autres
Publié: (2025)

Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification
par: Ng, Lynnette Hui Xian, et autres
Publié: (2024)

The MediaSpin Dataset: Post-Publication News Headline Edits Annotated for Media Bias
par: Verma, Preetika, et autres
Publié: (2024)

Who Speaks Matters: Analysing the Influence of the Speaker's Ethnicity on Hate Classification
par: Malik, Ananya, et autres
Publié: (2024)

Turn-Level Empathy Prediction Using Psychological Indicators
par: Furniturewala, Shaz, et autres
Publié: (2024)

Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling
par: Ouyang, Rongxin, et autres
Publié: (2024)

Beyond Text: Leveraging Multi-Task Learning and Cognitive Appraisal Theory for Post-Purchase Intention Analysis
par: Yeo, Gerard Christopher, et autres
Publié: (2024)

Simulating Misinformation Vulnerabilities With Agent Personas
par: Farr, David, et autres
Publié: (2025)

Reading Between the Lines: How Electronic Nonverbal Cues shape Emotion Decoding
par: Kumar, Taara, et autres
Publié: (2026)

Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
par: Kachuee, Mohammad, et autres
Publié: (2024)

Metadata Extraction Leveraging Large Language Models
par: Han, Cuize, et autres
Publié: (2025)

Beyond Context to Cognitive Appraisal: Emotion Reasoning as a Theory of Mind Benchmark for Large Language Models
par: Yeo, Gerard Christopher, et autres
Publié: (2025)

ZEBRA: Leveraging Model-Behavioral Knowledge for Zero-Annotation Preference Dataset Construction
par: Jung, Jeesu, et autres
Publié: (2025)

Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews
par: Krylova, Sofia, et autres
Publié: (2025)

Limpeh ga li gong: Challenges in Singlish Annotations
par: Chan, Luo Qi, et autres
Publié: (2024)

TClone: Low-Latency Forking of Live GUI Environments for Computer-Use Agents
par: Huang, Yutong, et autres
Publié: (2026)

Croissant Tasks: A Metadata Format for Reproducible Machine Learning Evaluations
par: Benjelloun, Omar, et autres
Publié: (2026)

Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects
par: Lohr, Dominic, et autres
Publié: (2024)

LUMOS: Large User MOdels for User Behavior Prediction
par: Nigam, Dhruv, et autres
Publié: (2025)

Tuning Language Models for Robust Prediction of Diverse User Behaviors
par: Meng, Fanjin, et autres
Publié: (2025)

Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions
par: Kaiser, Micha, et autres
Publié: (2024)

Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification
par: Singh, Pranav, et autres
Publié: (2023)

Plan with Code: Comparing approaches for robust NL to DSL generation
par: Bassamzadeh, Nastaran, et autres
Publié: (2024)

A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation
par: Bassamzadeh, Nastaran, et autres
Publié: (2024)

Retrieval Augmented Learning: A Retrial-based Large Language Model Self-Supervised Learning and Autonomous Knowledge Generation
par: Li, Zongyuan, et autres
Publié: (2025)

AI Annotation Orchestration: Evaluating LLM verifiers to Improve the Quality of LLM Annotations in Learning Analytics
par: Ahtisham, Bakhtawar, et autres
Publié: (2025)

Learning Through Dialogue: Engagement and Efficacy Matter More Than Explanations
par: Furniturewala, Shaz, et autres
Publié: (2026)

Minimal, Local, Causal Explanations for Jailbreak Success in Large Language Models
par: Kumar, Shubham, et autres
Publié: (2026)

Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction
par: Liu, Qi, et autres
Publié: (2023)

Users as Annotators: LLM Preference Learning from Comparison Mode
par: Cai, Zhongze, et autres
Publié: (2025)