Soyeong Jeong

According to our database, Soyeong Jeong authored at least 16 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park

CoRR, 2024

2023

Test-Time Self-Adaptive Small Language Models for Question Answering.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park

CoRR, 2023

Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning.

Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong C. Park

CoRR, 2023

Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement.

Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong C. Park

CoRR, 2023

Test-Time Self-Adaptive Small Language Models for Question Answering.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong Park

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering.

Sukmin Cho, Jeongyeon Seo, Soyeong Jeong, Jong C. Park

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Knowledge-Augmented Language Model Verification.

Jinheon Baek, Soyeong Jeong, Minki Kang, Jong C. Park, Sung Ju Hwang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement.

Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong Park

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Phrase Retrieval for Open Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning.

Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong Park

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker.

Sukmin Cho, Soyeong Jeong, Jeongyeon Seo, Jong C. Park

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Query Generation with External Knowledge for Dense Retrieval.

Sukmin Cho, Soyeong Jeong, Wonsuk Yang, Jong C. Park

Proceedings of Deep Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2022

2021

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation.

Soyeong Jeong, Jinheon Baek, ChaeHun Park, Jong C. Park

CoRR, 2021

2019

A Population-Based Optimization Method Using Newton Fractal.

Soyeong Jeong, Pilwon Kim

Complex., 2019

A Hybrid Similarity Measure Based on Binary and Decimal Data for Data Mining.

Soyeong Jeong

Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence, 2019

2015

Perturbation and Truncation of Probability Generating Function Methods for Stiff Chemical Reactions.

Soyeong Jeong, Pilwon Kim, Chang Hyeong Lee

J. Appl. Math., 2015