Jaehun Jung

Orcid: 0000-0002-0292-3074

According to our database1, Jaehun Jung authored at least 23 papers between 2016 and 2025.

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Bibliography

2025
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model.
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CoRR, August, 2025

The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage.
CoRR, August, 2025

The Curious Case of Factuality Finetuning: Models' Internal Beliefs Can Improve Factuality.
CoRR, July, 2025

Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers.
CoRR, June, 2025

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions.
CoRR, June, 2025

Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning.
CoRR, May, 2025

Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning.
CoRR, April, 2025

COVID-19 prediction with doubly multi-task Gaussian Process.
J. Biomed. Informatics, 2025

Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Information-Theoretic Distillation for Reference-less Summarization.
CoRR, 2024

Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MHC : Multi-flit HBM Crossbar with Enhancing Performance and Resource Utilization.
Proceedings of the 21st International SoC Design Conference, 2024

2023
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing.
CoRR, 2023

Improvement of GIDL-assisted Erase by using Surrounded BL PAD Structure for VNAND.
Proceedings of the IEEE International Memory Workshop, 2023

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

STEER: Unified Style Transfer with Expert Reinforcement.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DataHalo: A Customizable Notification Visualization System for Personalized and Longitudinal Interactions.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion.
CoRR, 2020

AttnIO: Knowledge Graph Exploration with In-and-Out Attention Flow for Knowledge-Grounded Dialogue.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2016
Design of Selecting Security Solution Using Multi-objective Genetic Algorithm.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016


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