Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
Fuente:
arXiv
Saved in:
| Main Authors: | Seedat, Nabeel, Huynh, Nicolas, van Breugel, Boris, van der Schaar, Mihaela |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling
by: Seedat, Nabeel, et al.
Published: (2024)
by: Seedat, Nabeel, et al.
Published: (2024)
DAGnosis: Localized Identification of Data Inconsistencies using Structures
by: Huynh, Nicolas, et al.
Published: (2024)
by: Huynh, Nicolas, et al.
Published: (2024)
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
by: Seedat, Nabeel, et al.
Published: (2022)
by: Seedat, Nabeel, et al.
Published: (2022)
Large Language Models to Enhance Bayesian Optimization
by: Liu, Tennison, et al.
Published: (2024)
by: Liu, Tennison, et al.
Published: (2024)
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
by: Rauba, Paulius, et al.
Published: (2024)
by: Rauba, Paulius, et al.
Published: (2024)
Active Timepoint Selection for Learning Measure-Valued Trajectories
by: Huynh, Nicolas, et al.
Published: (2026)
by: Huynh, Nicolas, et al.
Published: (2026)
When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective
by: Sun, Hao, et al.
Published: (2023)
by: Sun, Hao, et al.
Published: (2023)
Matchmaker: Self-Improving Large Language Model Programs for Schema Matching
by: Seedat, Nabeel, et al.
Published: (2024)
by: Seedat, Nabeel, et al.
Published: (2024)
Influence-Guided Symbolic Regression: Scientific Discovery via LLM-Driven Equation Search with Granular Feedback
by: Saveliev, Evgeny S., et al.
Published: (2026)
by: Saveliev, Evgeny S., et al.
Published: (2026)
What's the next frontier for Data-centric AI? Data Savvy Agents
by: Seedat, Nabeel, et al.
Published: (2025)
by: Seedat, Nabeel, et al.
Published: (2025)
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
by: Seedat, Nabeel, et al.
Published: (2024)
by: Seedat, Nabeel, et al.
Published: (2024)
Why Tabular Foundation Models Should Be a Research Priority
by: van Breugel, Boris, et al.
Published: (2024)
by: van Breugel, Boris, et al.
Published: (2024)
Time Series Diffusion in the Frequency Domain
by: Crabbé, Jonathan, et al.
Published: (2024)
by: Crabbé, Jonathan, et al.
Published: (2024)
Eliciting Numerical Predictive Distributions of LLMs Without Autoregression
by: Piskorz, Julianna, et al.
Published: (2026)
by: Piskorz, Julianna, et al.
Published: (2026)
Towards Human-Guided, Data-Centric LLM Co-Pilots
by: Saveliev, Evgeny, et al.
Published: (2025)
by: Saveliev, Evgeny, et al.
Published: (2025)
Not All Explanations for Deep Learning Phenomena Are Equally Valuable
by: Jeffares, Alan, et al.
Published: (2025)
by: Jeffares, Alan, et al.
Published: (2025)
Preference Learning for AI Alignment: a Causal Perspective
by: Kobalczyk, Katarzyna, et al.
Published: (2025)
by: Kobalczyk, Katarzyna, et al.
Published: (2025)
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning
by: Sun, Hao, et al.
Published: (2024)
by: Sun, Hao, et al.
Published: (2024)
Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport
by: Amad, Harry, et al.
Published: (2026)
by: Amad, Harry, et al.
Published: (2026)
Active Task Disambiguation with LLMs
by: Kobalczyk, Katarzyna, et al.
Published: (2025)
by: Kobalczyk, Katarzyna, et al.
Published: (2025)
Interpretable DNA Sequence Classification via Dynamic Feature Generation in Decision Trees
by: Huynh, Nicolas, et al.
Published: (2026)
by: Huynh, Nicolas, et al.
Published: (2026)
Position: All Current Generative Fidelity and Diversity Metrics are Flawed
by: Räisä, Ossi, et al.
Published: (2025)
by: Räisä, Ossi, et al.
Published: (2025)
Discovery of Hidden Miscalibration Regimes
by: Kobalczyk, Katarzyna, et al.
Published: (2026)
by: Kobalczyk, Katarzyna, et al.
Published: (2026)
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
by: Pouplin, Thomas, et al.
Published: (2024)
by: Pouplin, Thomas, et al.
Published: (2024)
Language Bottleneck Models for Qualitative Knowledge State Modeling
by: Berthon, Antonin, et al.
Published: (2025)
by: Berthon, Antonin, et al.
Published: (2025)
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
by: Sun, Hao, et al.
Published: (2025)
by: Sun, Hao, et al.
Published: (2025)
Few-shot Steerable Alignment: Adapting Rewards and LLM Policies with Neural Processes
by: Kobalczyk, Katarzyna, et al.
Published: (2024)
by: Kobalczyk, Katarzyna, et al.
Published: (2024)
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
by: Li, Yangming, et al.
Published: (2023)
by: Li, Yangming, et al.
Published: (2023)
Simulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language Models
by: Chiu, Christopher, et al.
Published: (2025)
by: Chiu, Christopher, et al.
Published: (2025)
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
by: Jeffares, Alan, et al.
Published: (2024)
by: Jeffares, Alan, et al.
Published: (2024)
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
by: Rauba, Paulius, et al.
Published: (2024)
by: Rauba, Paulius, et al.
Published: (2024)
Decision Tree Induction Through LLMs via Semantically-Aware Evolution
by: Liu, Tennison, et al.
Published: (2025)
by: Liu, Tennison, et al.
Published: (2025)
LaTable: Towards Large Tabular Models
by: van Breugel, Boris, et al.
Published: (2024)
by: van Breugel, Boris, et al.
Published: (2024)
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
by: Sun, Hao, et al.
Published: (2023)
by: Sun, Hao, et al.
Published: (2023)
Causal Deep Learning
by: Berrevoets, Jeroen, et al.
Published: (2023)
by: Berrevoets, Jeroen, et al.
Published: (2023)
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
by: Schweisthal, Jonas, et al.
Published: (2024)
by: Schweisthal, Jonas, et al.
Published: (2024)
Defining Expertise: Applications to Treatment Effect Estimation
by: Hüyük, Alihan, et al.
Published: (2024)
by: Hüyük, Alihan, et al.
Published: (2024)
Machine Learning with Requirements: a Manifesto
by: Giunchiglia, Eleonora, et al.
Published: (2023)
by: Giunchiglia, Eleonora, et al.
Published: (2023)
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding
by: Seedat, Nabeel, et al.
Published: (2024)
by: Seedat, Nabeel, et al.
Published: (2024)
Hypothesis Hunting with Evolving Networks of Autonomous Scientific Agents
by: Liu, Tennison, et al.
Published: (2025)
by: Liu, Tennison, et al.
Published: (2025)
Similar Items
-
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling
by: Seedat, Nabeel, et al.
Published: (2024) -
DAGnosis: Localized Identification of Data Inconsistencies using Structures
by: Huynh, Nicolas, et al.
Published: (2024) -
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
by: Seedat, Nabeel, et al.
Published: (2022) -
Large Language Models to Enhance Bayesian Optimization
by: Liu, Tennison, et al.
Published: (2024) -
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
by: Rauba, Paulius, et al.
Published: (2024)