Nabeel Seedat
20 papers · 2022–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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large language model
(5)
conformal prediction
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data-centric ai
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(3)
tabular data
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representation learning
(2)
prediction interval
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model evaluation
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uncertainty quantification
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performance degradation
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Papers
Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses
EMNLP 2025
Bootstrapping Self-Improvement of Language Model Programs for Zero-Shot Schema Matching
ICML 2025
Going Beyond Static: Understanding Shifts with Time-Series Attribution
ICLR 2025
Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
NeurIPS 2024
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
NeurIPS 2024
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
ICML 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures
AISTATS 2024
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
ICLR 2024
Large Language Models to Enhance Bayesian Optimization
ICLR 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
ICML 2024
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
NeurIPS 2024
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
NeurIPS 2023
Differentiable and Transportable Structure Learning
ICML 2023
Improving Adaptive Conformal Prediction Using Self-Supervised Learning
AISTATS 2023
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
NeurIPS 2023
TRIAGE: Characterizing and auditing training data for improved regression
NeurIPS 2023
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
NeurIPS 2023
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
ICML 2022
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
NeurIPS 2022
Data-SUITE: Data-centric identification of in-distribution incongruous examples
ICML 2022