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Sangdon Park

15 papers · 2020–2025 · 9 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸƒ Academic Marathon (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (11)
🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (35) πŸŒ‰ Interdisciplinary Bridge πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (10) πŸ—ƒοΈ Keyword Collector (63) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (15)

Conferences

ICLR (4) CVPR (2) EMNLP (2) NIPS (2) AAAI (1) AISTATS (1) ICCV (1) ICML (1) NAACL (1)

Top co-authors

Insup Lee (10) Osbert Bastani (9) Edgar Dobriban (4) Dongwoo Kim (3) Shuo Li (3) Hyejin Park (2) Jungseul Ok (2) Wenwen Si (2) KyungMin Kim (2) Jeongyeon Hwang (2)

Keywords

conformal prediction (3) large language model (3) domain adaptation (2) uncertainty quantification (2) retrieval-augmented generation (2) distribution shift (2) false discovery rate (1) image generation (1) adversarial learning (1) anomaly detection (1) test-time adaptation (1) object detection (1) batch normalization (1) question answering (1) few-shot learning (1) pac learning (1) information retrieval (1) text generation (1) model evaluation (1) online learning (1)

Papers

ChronoBias: A Benchmark for Evaluating Time-conditional Group Bias in the Time-sensitive Knowledge of Large Language Models EMNLP 2025 Retrieval-Augmented Generation with Estimation of Source Reliability EMNLP 2025 Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning ICCV 2025 TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction NAACL 2024 Selective Generation for Controllable Language Models NIPS 2024 MedBN: Robust Test-Time Adaptation against Malicious Test Samples CVPR 2024 PAC Prediction Sets Under Label Shift ICLR 2024 Angelic Patches for Improving Third-Party Object Detector Performance CVPR 2023 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection AAAI 2022 PAC Prediction Sets Under Covariate Shift ICLR 2022 PAC Prediction Sets for Meta-Learning NIPS 2022 Sequential Covariate Shift Detection Using Classifier Two-Sample Tests ICML 2022 PAC Confidence Predictions for Deep Neural Network Classifiers ICLR 2021 PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction ICLR 2020 Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation AISTATS 2020