Hoyoon Byun

Orcid: 0000-0001-5897-6493

According to our database1, Hoyoon Byun authored at least 11 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2026
Graph Perceiver IO: A general architecture for graph-structured data.
Pattern Recognit., 2026

2025
Multi-query frequency prompting for physiological signal domain adaptation.
Knowl. Based Syst., 2025

GFML: Gravity function for metric learning.
Eng. Appl. Artif. Intell., 2025

Flat Posterior Does Matter For Bayesian Model Averaging.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

LBC: Language-Based-Classifier for Out-Of-Variable Generalization.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Exploring the Potential of Foundation Models as Reliable AI Contact Centers.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024
Tc-llama 2: fine-tuning LLM for technology and commercialization applications.
J. Big Data, December, 2024

Flat Posterior Does Matter For Bayesian Transfer Learning.
CoRR, 2024

CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Geodesic Multi-Modal Mixup for Robust Fine-Tuning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


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