Saved in:
| Main Authors: | Peters, Heinrich, Hashemi, Alireza, Rae, James |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2310.05286 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs
by: Wang, Yifan, et al.
Published: (2024)
by: Wang, Yifan, et al.
Published: (2024)
If in a Crowdsourced Data Annotation Pipeline, a GPT-4
by: He, Zeyu, et al.
Published: (2024)
by: He, Zeyu, et al.
Published: (2024)
Evaluating Interactive 2D Visualization as a Sample Selection Strategy for Biomedical Time-Series Data Annotation
by: Vaaras, Einari, et al.
Published: (2026)
by: Vaaras, Einari, et al.
Published: (2026)
ScaleViz: Scaling Visualization Recommendation Models on Large Data
by: Ahmad, Ghazi Shazan, et al.
Published: (2024)
by: Ahmad, Ghazi Shazan, et al.
Published: (2024)
Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds
by: Li, Shikun, et al.
Published: (2023)
by: Li, Shikun, et al.
Published: (2023)
The Human-Data-Model Interaction Canvas for Visual Analytics
by: Bernard, Jürgen
Published: (2025)
by: Bernard, Jürgen
Published: (2025)
CodeAlignBench: Assessing Code Generation Models on Developer-Preferred Code Adjustments
by: Mehralian, Forough, et al.
Published: (2025)
by: Mehralian, Forough, et al.
Published: (2025)
Explainability for Machine Learning Models: From Data Adaptability to User Perception
by: Delaunay, julien
Published: (2024)
by: Delaunay, julien
Published: (2024)
Predictive AI Can Support Human Learning while Preserving Error Diversity
by: He, Vivianna Fang, et al.
Published: (2025)
by: He, Vivianna Fang, et al.
Published: (2025)
Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results
by: Liu, Jonathan, et al.
Published: (2025)
by: Liu, Jonathan, et al.
Published: (2025)
Large Language Models Can Infer Personality from Free-Form User Interactions
by: Peters, Heinrich, et al.
Published: (2024)
by: Peters, Heinrich, et al.
Published: (2024)
Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networks
by: Sateesh, Shyam K, et al.
Published: (2024)
by: Sateesh, Shyam K, et al.
Published: (2024)
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI
by: Nguyen, Elisa, et al.
Published: (2024)
by: Nguyen, Elisa, et al.
Published: (2024)
Leveraging Large Language Models (LLMs) to Support Collaborative Human-AI Online Risk Data Annotation
by: Park, Jinkyung, et al.
Published: (2024)
by: Park, Jinkyung, et al.
Published: (2024)
Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems
by: Huang, Yiran, et al.
Published: (2024)
by: Huang, Yiran, et al.
Published: (2024)
Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal Feedback
by: Lee, Dong Won, et al.
Published: (2024)
by: Lee, Dong Won, et al.
Published: (2024)
Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotation
by: Tian, Yuan, et al.
Published: (2025)
by: Tian, Yuan, et al.
Published: (2025)
Fully Data-driven but Interpretable Human Behavioural Modelling with Differentiable Discrete Choice Model
by: Makinoshima, Fumiyasu, et al.
Published: (2024)
by: Makinoshima, Fumiyasu, et al.
Published: (2024)
Wrapper Boxes: Faithful Attribution of Model Predictions to Training Data
by: Su, Yiheng, et al.
Published: (2023)
by: Su, Yiheng, et al.
Published: (2023)
Large Language Models Can Infer Psychological Dispositions of Social Media Users
by: Peters, Heinrich, et al.
Published: (2023)
by: Peters, Heinrich, et al.
Published: (2023)
Reinforcement Learning Driven Generalizable Feature Representation for Cross-User Activity Recognition
by: Ye, Xiaozhou, et al.
Published: (2025)
by: Ye, Xiaozhou, et al.
Published: (2025)
Learning to Pay Attention: Unsupervised Modeling of Attentive and Inattentive Respondents in Survey Data
by: Triantafyllopoulos, Ilias, et al.
Published: (2026)
by: Triantafyllopoulos, Ilias, et al.
Published: (2026)
Scaling Wearable Foundation Models
by: Narayanswamy, Girish, et al.
Published: (2024)
by: Narayanswamy, Girish, et al.
Published: (2024)
TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health
by: Fan, Yuang, et al.
Published: (2026)
by: Fan, Yuang, et al.
Published: (2026)
From Accuracy to Readiness: Metrics and Benchmarks for Human-AI Decision-Making
by: Lee, Min Hun
Published: (2026)
by: Lee, Min Hun
Published: (2026)
Learning a Canonical Basis of Human Preferences from Binary Ratings
by: Vodrahalli, Kailas, et al.
Published: (2025)
by: Vodrahalli, Kailas, et al.
Published: (2025)
Explanation through Reward Model Reconciliation using POMDP Tree Search
by: Kraske, Benjamin D., et al.
Published: (2023)
by: Kraske, Benjamin D., et al.
Published: (2023)
A Toolkit for Virtual Reality Data Collection
by: Rolff, Tim, et al.
Published: (2024)
by: Rolff, Tim, et al.
Published: (2024)
Influencing Humans to Conform to Preference Models for RLHF
by: Hatgis-Kessell, Stephane, et al.
Published: (2025)
by: Hatgis-Kessell, Stephane, et al.
Published: (2025)
Interactive Program Synthesis for Modeling Collaborative Physical Activities from Narrated Demonstrations
by: Kim, Edward, et al.
Published: (2025)
by: Kim, Edward, et al.
Published: (2025)
Catch Me if You Search: When Contextual Web Search Results Affect the Detection of Hallucinations
by: Nahar, Mahjabin, et al.
Published: (2025)
by: Nahar, Mahjabin, et al.
Published: (2025)
SpiroActive: Active Learning for Efficient Data Acquisition for Spirometry
by: Jain, Ankita Kumari, et al.
Published: (2024)
by: Jain, Ankita Kumari, et al.
Published: (2024)
Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models
by: Wang, Chen, et al.
Published: (2025)
by: Wang, Chen, et al.
Published: (2025)
NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Models
by: Barmpas, Konstantinos, et al.
Published: (2025)
by: Barmpas, Konstantinos, et al.
Published: (2025)
Transparent Adaptive Learning via Data-Centric Multimodal Explainable AI
by: Mosleh, Maryam, et al.
Published: (2025)
by: Mosleh, Maryam, et al.
Published: (2025)
A Sustainable AI Economy Needs Data Deals That Work for Generators
by: Jia, Ruoxi, et al.
Published: (2026)
by: Jia, Ruoxi, et al.
Published: (2026)
Evaluation of Human-Understandability of Global Model Explanations using Decision Tree
by: Sivaprasad, Adarsa, et al.
Published: (2023)
by: Sivaprasad, Adarsa, et al.
Published: (2023)
The Model Mastery Lifecycle: A Framework for Designing Human-AI Interaction
by: Chignell, Mark, et al.
Published: (2024)
by: Chignell, Mark, et al.
Published: (2024)
Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text
by: Luera, Reuben, et al.
Published: (2024)
by: Luera, Reuben, et al.
Published: (2024)
Machine Learning Techniques for Sensor-based Human Activity Recognition with Data Heterogeneity -- A Review
by: Ye, Xiaozhou, et al.
Published: (2024)
by: Ye, Xiaozhou, et al.
Published: (2024)
Similar Items
-
Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs
by: Wang, Yifan, et al.
Published: (2024) -
If in a Crowdsourced Data Annotation Pipeline, a GPT-4
by: He, Zeyu, et al.
Published: (2024) -
Evaluating Interactive 2D Visualization as a Sample Selection Strategy for Biomedical Time-Series Data Annotation
by: Vaaras, Einari, et al.
Published: (2026) -
ScaleViz: Scaling Visualization Recommendation Models on Large Data
by: Ahmad, Ghazi Shazan, et al.
Published: (2024) -
Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds
by: Li, Shikun, et al.
Published: (2023)