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Insup Lee

31 papers · 2011–2026 · 14 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🌍 Conference Polyglot (14) πŸƒ Academic Marathon (14) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)
🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (59) πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (12) πŸ’Ž Century Club (29) πŸ”₯ Unstoppable (6) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (108)

Conferences

ICLR (6) AAAI (5) EMNLP (5) AISTATS (2) CORL (2) L4DC (2) NIPS (2) ACL (1) CONLL (1) CVPR (1) ICML (1) INTERSPEECH (1) MICCAI (1) NAACL (1)

Top co-authors

Osbert Bastani (13) Sangdon Park (10) Edgar Dobriban (7) James Weimer (6) Yahan Yang (6) Souradeep Dutta (6) Shuo Li (5) Dan Roth (5) Kaustubh Sridhar (5) Wenwen Si (4)

Keywords

uncertainty quantification (5) conformal prediction (5) reinforcement learning (3) image classification (2) domain adaptation (2) question answering (2) language model (2) confidence calibration (2) large language model (2) adversarial learning (2) distribution shift (2) anomaly detection (2) prediction set (2) text classification (1) few-shot learning (1) adversarial robustness (1) transfer learning (1) content moderation (1) policy optimization (1) multilingual nlp (1)

Papers

Conformal Constrained Policy Optimization for Cost-Effective LLM Agents AAAI 2026 Quantifying and Improving Adaptivity in Conformal Prediction Through Input Transformations AAAI 2026 MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety EMNLP 2025 Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control MICCAI 2025 Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models AAAI 2025 RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models CORL 2025 REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments ICLR 2025 Uncertainty in Language Models: Assessment through Rank-Calibration EMNLP 2024 AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties NIPS 2024 Conformal Prediction Regions for Time Series Using Linear Complementarity Programming AAAI 2024 PAC Prediction Sets Under Label Shift ICLR 2024 Memory-Consistent Neural Networks for Imitation Learning ICLR 2024 DC4L: Distribution shift recovery via data-driven control for deep learning models L4DC 2024 TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction NAACL 2024 Penn & BGU BabyBERTa+ for Strict-Small BabyLM Challenge EMNLP 2023 In and Out-of-Domain Text Adversarial Robustness via Label Smoothing ACL 2023 Automatically Predicting Perceived Conversation Quality in a Pediatric Sample Enriched for Autism INTERSPEECH 2023 Guaranteed Conformance of Neurosymbolic Models to Natural Constraints L4DC 2023 Penn & BGU BabyBERTa+ for Strict-Small BabyLM Challenge CONLL 2023 Angelic Patches for Improving Third-Party Object Detector Performance CVPR 2023 Bootstrapping Small & High Performance Language Models with Unmasking-Removal Training Policy EMNLP 2023 Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates CORL 2022 PAC Prediction Sets Under Covariate Shift ICLR 2022 Sequential Covariate Shift Detection Using Classifier Two-Sample Tests ICML 2022 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection AAAI 2022 PAC Prediction Sets for Meta-Learning NIPS 2022 Improving Classifier Confidence using Lossy Label-Invariant Transformations AISTATS 2021 PAC Confidence Predictions for Deep Neural Network Classifiers ICLR 2021 Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation AISTATS 2020 PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction ICLR 2020 Computing Logical Form on Regulatory Texts EMNLP 2011