Jinsung Yoon

DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding ACL 2026 Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering WACV 2026 TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing AAAI 2026 BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval ICLR 2025 Debiasing Online Preference Learning via Preference Feature Preservation ACL 2025 Embedding-Converter: A Unified Framework for Cross-Model Embedding Transformation ACL 2025 Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments ICLR 2025 LLM Alignment as Retriever Optimization: An Information Retrieval Perspective ICML 2025 Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG ICLR 2025 Retrieval Augmented Time Series Forecasting ICML 2025 SQUARE: Unsupervised Retrieval Adaptation via Synthetic Data EMNLP 2025 Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning ICML 2024 Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024 Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval EMNLP 2024 Search-Adaptor: Embedding Customization for Information Retrieval ACL 2024 Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs EMNLP 2023 Anomaly Clustering: Grouping Images Into Coherent Clusters of Anomaly Types WACV 2023 Clairvoyance: A Pipeline Toolkit for Medical Time Series ICLR 2021 Controlling Neural Networks with Rule Representations NeurIPS 2021 CutPaste: Self-Supervised Learning for Anomaly Detection and Localization CVPR 2021 Learning and Evaluating Representations for Deep One-Class Classification ICLR 2021 Data Valuation using Reinforcement Learning ICML 2020 Interpretable Sequence Learning for Covid-19 Forecasting NeurIPS 2020 VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain NeurIPS 2020 ASAC: Active Sensing using Actor-Critic models MLHC 2019 Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate NeurIPS 2019 INVASE: Instance-wise Variable Selection using Neural Networks ICLR 2019 KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks ICLR 2019 PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees ICLR 2019 Time-series Generative Adversarial Networks NeurIPS 2019 Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks ICLR 2018 GAIN: Missing Data Imputation using Generative Adversarial Nets ICML 2018 GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets ICLR 2018 RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks ICML 2018 ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission ICML 2016