Chanyeol Choi

According to our database, Chanyeol Choi authored at least 18 papers between 2021 and 2026.

Collaborative distances:

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

2026

Forecasting Future Language: Context Design for Mention Markets.

Sumin Kim, Jihoon Kwon, Yoon Kim, Nicole Kagan, Raffi Khatchadourian, Wonbin Ahn, Alejandro Lopez-Lira, Jaewon Lee, Yoontae Hwang, Oscar Levy, Yongjae Lee, Chanyeol Choi

CoRR, February, 2026

Evaluating LLMs in Finance Requires Explicit Bias Consideration.

Yaxuan Kong, Hoyoung Lee, Yoontae Hwang, Alejandro Lopez-Lira, Bradford Levy, Dhagash Mehta, Qingsong Wen, Chanyeol Choi, Yongjae Lee, Stefan Zohren

CoRR, February, 2026

Cross-Sectional Asset Retrieval via Future-Aligned Soft Contrastive Learning.

Hyeongmin Lee, Chanyeol Choi, Jihoon Kwon, Yoon Kim, Alejandro Lopez-Lira, Wonbin Ahn, Yongjae Lee

CoRR, February, 2026

2025

Can LLMs Hit Moving Targets? Tracking Evolving Signals in Corporate Disclosures.

Chanyeol Choi, Jihoon Kwon, Minjae Kim

CoRR, October, 2025

Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance.

Chanyeol Choi, Alejandro Lopez-Lira, Jihoon Kwon, Minjae Kim, Juneha Hwang, Minsoo Ha, Chaewoon Kim, Jaeseon Ha, Suyeol Yun, Jin Kim

CoRR, May, 2025

Bridging Language Models and Financial Analysis.

Alejandro Lopez-Lira, Jihoon Kwon, Sangwoon Yoon, Jy-yong Sohn, Chanyeol Choi

CoRR, March, 2025

Information Retrieval in Finance: Industry and Academic Perspectives on Innovation.

Chung-Chi Chen, Yongjae Lee, Alejandro Lopez-Lira, Chanyeol Choi, Richard McCreadie, Javier Sanz-Cruzado

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Your AI, Not Your View: The Bias of LLMs in Investment Analysis.

Hoyoung Lee, Junhyuk Seo, Suhwan Park, Junhyeong Lee, Wonbin Ahn, Chanyeol Choi, Alejandro Lopez-Lira, Yongjae Lee

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering.

Chanyeol Choi, Jihoon Kwon, Alejandro Lopez-Lira, Chaewoon Kim, Minjae Kim, Juneha Hwang, Jaeseon Ha, Hojun Choi, Suyeol Yun, Yongjin Kim, Yongjae Lee

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation.

Chanyeol Choi, Jihoon Kwon, Jaeseon Ha, Hojun Choi, Chaewoon Kim, Yongjae Lee, Jy-yong Sohn, Alejandro Lopez-Lira

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

Advances in Financial AI: Innovations, Risk, and Responsibility in the Era of LLMs.

Yongjae Lee, Nazanin Mehrasa, Chanyeol Choi, Chung-Chi Chen, Dhagash Mehta, Stefan Zohren, Yoon Kim, Chulheum Lee, Yeonhee Lee, Eunsook Oh

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Linq-Embed-Mistral Technical Report.

Chanyeol Choi, Junseong Kim, Seolhwa Lee, Jihoon Kwon, Sangmo Gu, Yejin Kim, Minkyung Cho, Jy-yong Sohn

CoRR, 2024

Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses.

Juyeon Kim, Jeongeun Lee, Yoonho Chang, Chanyeol Choi, Junseong Kim, Jy-yong Sohn

CoRR, 2024

Improving Multi-lingual Alignment Through Soft Contrastive Learning.

Minsu Park, Seyeon Choi, Chanyeol Choi, Jun-Seong Kim, Jy-yong Sohn

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024

Can Separators Improve Chain-of-Thought Prompting?

Yoonjeong Park, Hyunjin Kim, Chanyeol Choi, Junseong Kim, Jy-yong Sohn

Proceedings of the 2nd International Conference on Foundation and Large Language Models, 2024

2022

Data-driven Parametric Insurance Framework Using Bayesian Neural Networks.

Subeen Pang, Chanyeol Choi

CoRR, 2022

2021

Memristor-based AI Hardware for Reliable and Reconfigurable Neuromorphic Computing.

Chanyeol Choi

PhD thesis, 2021

K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistency.

Kanghyun Ryu, Cagan Alkan, Chanyeol Choi, Ikbeom Jang, Shreyas Vasanawala

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021