Sung Ju Hwang
- Papers
- 54
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Authored papers
54THINKSAFE: Self-Generated Safety Alignment for Reasoning Models
arXiv 2026
Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation
arXiv 2026
T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search
arXiv 2026
Self-Refining Video Sampling
arXiv 2026
Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR
arXiv 2026
It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs
arXiv 2026
Memory Transfer Learning: How Memories are Transferred Across Domains in Coding Agents
arXiv 2026
MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents
arXiv 2026
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
arXiv 2025
Distilling LLM Agent into Small Models with Retrieval and Code Tools
arXiv 2025
Continuous Diffusion Model for Language Modeling
arXiv 2025
UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities
arXiv 2025
Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model
arXiv 2025
Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction
arXiv 2025
System Prompt Optimization with Meta-Learning
arXiv 2025
InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU
arXiv 2025
WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning
arXiv 2025
Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
arXiv 2025
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models
arXiv 2025
PCoreSet: Effective Active Learning through Knowledge Distillation from Vision-Language Models
arXiv 2025
VideoRAG: Retrieval-Augmented Generation over Video Corpus
arXiv 2025
Rethinking Reward Models for Multi-Domain Test-Time Scaling
arXiv 2025
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via $\mathbf{\texttt{D}}$ual-$\mathbf{\texttt{H}}$ead $\mathbf{\texttt{O}}$ptimization
arXiv 2025
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
arXiv 2025
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
arXiv 2024
VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding
CVPR 2025 1
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
arXiv 2024
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
arXiv 2024
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
arXiv 2024
Diffusion-Based Neural Network Weights Generation
arXiv 2024
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
arXiv 2024
Learning diverse attacks on large language models for robust red-teaming and safety tuning
arXiv 2024
Test-Time Self-Adaptive Small Language Models for Question Answering
arXiv 2023
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
CVPR 2023 1
Progressive Fourier Neural Representation for Sequential Video Compilation
arXiv 2023
Forget-free Continual Learning with Soft-Winning SubNetworks
arXiv 2023
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
knowledge-augmented-reasoning-distillation
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
arXiv 2023
Graph Generation with Diffusion Mixture
arXiv 2023
Knowledge-Augmented Language Model Verification
arXiv 2023
Self-Supervised Dataset Distillation for Transfer Learning
arXiv 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
arXiv 2023
SEA: Sparse Linear Attention with Estimated Attention Mask
arXiv 2023
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
arXiv 2022
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
arXiv 2022
Personalized Subgraph Federated Learning
arXiv 2022
Exploring Chemical Space with Score-based Out-of-distribution Generation
arXiv 2022
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation
ACL 2022 5
Graph Self-supervised Learning with Accurate Discrepancy Learning
arXiv 2022
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
arXiv 2022
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
arXiv 2021
Edge Representation Learning with Hypergraphs
NeurIPS 2021 12
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
contrastive-learning-with-adversarial
Self-supervised Label Augmentation via Input Transformations
ICML 2020 1
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