Se-Young Yun

MERIT Feedback Elicits Better Bargaining in LLM Negotiators ACL 2026 C2: Scalable Auto-Feedback for LLM-based Chart Generation NAACL 2025 FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning ICLR 2025 MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation ICCV 2025 MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition ICML 2025 DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs ICML 2025 Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation ICLR 2025 QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval ICML 2025 Self-Training Elicits Concise Reasoning in Large Language Models ACL 2025 Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model ICML 2025 MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder ICLR 2025 Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models ICLR 2025 Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions ICLR 2024 DistiLLM: Towards Streamlined Distillation for Large Language Models ICML 2024 Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs ICML 2024 Fine-tuning Pre-trained Models for Robustness under Noisy Labels IJCAI 2024 An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints NIPS 2024 Preference Alignment with Flow Matching NIPS 2024 Block Transformer: Global-to-Local Language Modeling for Fast Inference NIPS 2024 Conditional Synthesis of 3D Molecules with Time Correction Sampler NIPS 2024 A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits NIPS 2024 Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning AAAI 2024 Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion AISTATS 2024 FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning CVPR 2024 Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models NAACL 2024 Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models EMNLP 2024 Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters EMNLP 2024 Stable Language Model Pre-training by Reducing Embedding Variability EMNLP 2024 BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024 Re-Thinking Federated Active Learning Based on Inter-Class Diversity CVPR 2023 PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning NIPS 2023 Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective EACL 2023 Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification INTERSPEECH 2023 Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding EMNLP 2023 Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023 HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning EMNLP 2023 NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models EMNLP 2023 Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation INTERSPEECH 2023 Mitigating Dataset Bias by Using Per-Sample Gradient ICLR 2023 CUDA: Curriculum of Data Augmentation for Long-tailed Recognition ICLR 2023 Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint NIPS 2023 Large Language Models Are Reasoning Teachers ACL 2023 Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles AISTATS 2023 Nearly Optimal Latent State Decoding in Block MDPs AISTATS 2023 Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels AAAI 2023 A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI 2023 Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network AAAI 2023 Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning CVPR 2023 Preservation of the Global Knowledge by Not-True Distillation in Federated Learning NIPS 2022 Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty NIPS 2022 Robust Streaming PCA NIPS 2022 Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks EMNLP 2022 FedBABU: Toward Enhanced Representation for Federated Image Classification ICLR 2022 Neural Processes with Stochastic Attention: Paying more attention to the context dataset ICLR 2022 Rotting Infinitely Many-Armed Bandits ICML 2022 Improved Regret Bounds of Bilinear Bandits using Action Space Analysis ICML 2021 BOIL: Towards Representation Change for Few-shot Learning ICLR 2021 Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation IJCAI 2021 FINE Samples for Learning with Noisy Labels NIPS 2021 Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models AISTATS 2020 Regret in Online Recommendation Systems NIPS 2020 Spectral Approximate Inference ICML 2019 Optimal Sampling and Clustering in the Stochastic Block Model NIPS 2019 Collaborative Clustering: Sample Complexity and Efficient Algorithms ALT 2017 Optimal Cluster Recovery in the Labeled Stochastic Block Model NIPS 2016 Fast and Memory Optimal Low-Rank Matrix Approximation NIPS 2015 Streaming, Memory Limited Algorithms for Community Detection NIPS 2014 Community Detection via Random and Adaptive Sampling COLT 2014