Kyunghoon Bae

According to our database1, Kyunghoon Bae authored at least 26 papers between 2014 and 2025.

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Bibliography

2025
EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes.
CoRR, July, 2025

Geometric Embedding Alignment via Curvature Matching in Transfer Learning.
CoRR, June, 2025

LGAI-EMBEDDING-Preview Technical Report.
CoRR, June, 2025

SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety.
CoRR, May, 2025

MolMole: Molecule Mining from Scientific Literature.
CoRR, May, 2025

EXAONE Deep: Reasoning Enhanced Language Models.
CoRR, March, 2025

Do Not Trust Licenses You See: Dataset Compliance Requires Massive-Scale AI-Powered Lifecycle Tracing.
CoRR, March, 2025

Mol-LLM: Generalist Molecular LLM with Improved Graph Utilization.
CoRR, February, 2025

ICT-QA: Question Answering over Multi-modal Contexts including Image, Chart, and Text Modalities.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
EXAONE 3.5: Series of Large Language Models for Real-world Use Cases.
CoRR, 2024

EXAONE 3.0 7.8B Instruction Tuned Language Model.
CoRR, 2024

Instruction Matters, a Simple yet Effective Task Selection Approach in Instruction Tuning for Specific Tasks.
CoRR, 2024

AutoGuide: Automated Generation and Selection of State-Aware Guidelines for Large Language Model Agents.
CoRR, 2024

ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
On Sample-Efficient Code Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

2022
Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders.
CoRR, 2022

ANNA": " Enhanced Language Representation for Question Answering.
Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

L-Verse: Bidirectional Generation Between Image and Text.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Extended Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Context aware Named Entity Recognition and Relation Extraction with Domain-specific language model.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2014
Real-time detection of small faces in HD video.
Proceedings of the Video Surveillance and Transportation Imaging Applications 2014, 2014


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