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Author

Yongjae Lee

Observed name: Lee, Yongjae
ORCID: 0000-0002-5411-4340
Observed ORCID: 0000-0002-5411-4340
OpenAlex ID: A5126184372
Evaluating LLMs in Finance Requires Explicit Bias Consideration
2026 · Kong, Yaxuan, Lee, Hoyoung, et al. · arXiv (Cornell University) · 18
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LoopUS: Recasting Pretrained LLMs into Looped Latent Refinement Models
2026 · Park, Taekhyun, Lee, Yongjae, et al. · arXiv (Cornell University) · 15
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When Summaries Distort Decisions: Information Fidelity in LLM-Compressed Financial Analysis
2026 · Hoyoung Lee, Suhwan Park, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 6
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Decision-Focused Learning via Tangent-Space Projection of Prediction Error
2026 · Lee, Junhyeong, Jin, Sangjin, et al. · arXiv (Cornell University) · 3
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FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing
2026 · Lee, Jaehoon, Park, Suhwan, et al. · arXiv (Cornell University) · 3
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GuruAgents: Emulating Wise Investors with Prompt-Guided LLM Agents
2025 · Kim, Yejin, Lee, Youngbin, et al. · arXiv (Cornell University) · 3
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Poisoning Agentic Alpha: Adversarial Vulnerabilities Across Roles and Architectures in Multi-Agent Trading Systems
2026 · Na, CheolWon, Ni, Hao, et al. · arXiv (Cornell University) · 2
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Forecasting Future Language: Context Design for Mention Markets
2026 · Kim, Sumin, Kwon, Jihoon, et al. · arXiv (Cornell University) · 2
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Seq2Synth: Benchmarking Temporal Fidelity in Synthetic Sequential Tabular Data
2026 · Kiwan Kwon, Kangmin Kim, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 1
Your AI, On a Dial: Controlling Investment Bias in LLMs with a Single Neuron
2026 · Park, Sahong, Park, Suhwan, et al. · arXiv (Cornell University) · 1
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Decision-focused Sparse Tangent Portfolio Optimization
2026 · Jeon, Haeun, Choi, Seunghoon, et al. · arXiv (Cornell University) · 1
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Cross-Sectional Asset Retrieval via Future-Aligned Soft Contrastive Learning
2026 · Lee, Hyeongmin, Choi, Chanyeol, et al. · arXiv (Cornell University) · 1
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TRACK: Multiple Instance Learning for Anti-Money Laundering in Transaction Networks
2026 · Lim, Seonkyu, Tae, Inwoo, et al. · arXiv (Cornell University)
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Making Alternative Data Work: Context-Augmented LLMs for Financial Forecasting
2026 · Kwon, Jihoon, Liu, Lawrence, et al. · arXiv (Cornell University)
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Fund2Persona: A Framework for Building and Refining Financial Advisor Personas from Fund Disclosure Data
2026 · Suhwan Park, Hoyoung Lee, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Works count: 15
Citation count: 56
H-index: 3
I10-index: 2
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