Soyeong Jeong

According to our database1, Soyeong Jeong authored at least 30 papers between 2015 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
VideoRAG: Retrieval-Augmented Generation over Video Corpus.
CoRR, January, 2025

2024
Target Tracking Systems on a Sphere With Topographic Information.
IEEE Trans. Cybern., May, 2024

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation.
CoRR, 2024

Unified Multi-Modal Interleaved Document Representation for Information Retrieval.
CoRR, 2024

DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation.
CoRR, 2024

Database-Augmented Query Representation for Information Retrieval.
CoRR, 2024

Self-Knowledge Distillation for Learning Ambiguity.
CoRR, 2024

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.
CoRR, 2024

Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models.
CoRR, 2024

Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations.
CoRR, 2024

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.
CoRR, 2024

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Test-Time Self-Adaptive Small Language Models for Question Answering.
CoRR, 2023

Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning.
CoRR, 2023

Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement.
CoRR, 2023

Test-Time Self-Adaptive Small Language Models for Question Answering.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Knowledge-Augmented Language Model Verification.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation.
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.
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.
CoRR, 2021

2019
A Population-Based Optimization Method Using Newton Fractal.
Complex., 2019

A Hybrid Similarity Measure Based on Binary and Decimal Data for Data Mining.
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.
J. Appl. Math., 2015


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