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Se-Young Yun

Papers
18

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18papers

Authored papers

18

Generative Visual Code Mobile World Models

arXiv 2026

2026

mSFT: Addressing Dataset Mixtures Overfiting Heterogeneously in Multi-task SFT

arXiv 2026

2026

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs

arXiv 2025

2025

KLASS: KL-Guided Fast Inference in Masked Diffusion Models

arXiv 2025

2025

Self-Training Elicits Concise Reasoning in Large Language Models

arXiv 2025

2025

Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness

arXiv 2025

2025

Flex-Judge: Think Once, Judge Anywhere

arXiv 2025

2025

Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation

arXiv 2025

2025

Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiers

arXiv 2024

2024

Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters

arXiv 2024

2024

FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL

arXiv 2024

2024

DistiLLM: Towards Streamlined Distillation for Large Language Models

arXiv 2024

2024

Block Transformer: Global-to-Local Language Modeling for Fast Inference

arXiv 2024

2024

Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models

arXiv 2024

2024

Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding

arXiv 2023

2023

Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning

CVPR 2023 1

2023

Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation

arXiv 2023

2023

Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions

arXiv 2023

2023

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10

from 18 papers