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Taeyoon Kwon

Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
2024 · Taeyoon Kwon, Kai Tzu-iunn Ong, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 49
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Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation
2024 · Dongjin Kang, Sunghwan Kim, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 23
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Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents
2023 · Hyungjoo Chae, Yongho Song, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 20
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Towards Lifelong Dialogue Agents via Timeline-based Memory Management
2025 · Kai Tzu-iunn Ong, Namyoung Kim, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 7
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Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
2023 · Moon, Seungjun, Chae, Hyungjoo, et al. · arXiv (Cornell University) · 3
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Multitask Deep Learning for Joint Detection of Necrotizing Viral and Noninfectious Retinitis From Common Blood and Serology Test Data
2024 · Kai Tzu-iunn Ong, Taeyoon Kwon, et al. · Investigative Ophthalmology & Visual Science · 2
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Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code
2024 · Hyungjoo Chae, Taeyoon Kwon, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
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PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints
2026 · Minjun Park, Donghyun Kim, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
2024 · Chae, Hyungjoo, Kim, Yeonghyeon, et al. · arXiv (Cornell University) · 1
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Vorticity‐Driven µ ‐Platelet Rotation and Selective Packing for Vertical Thermal–Electrical Interconnects
2026 · Yujin Mun, Sang Gil Lee, et al. · Advanced Functional Materials
EMBGuard: Constructing Hazard-Aware Guardrails for Safe Planning in Embodied Agents
2026 · Choi, Dongwook, Kwon, Taeyoon, et al. · arXiv (Cornell University)
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Towards Direct Evaluation of Harness Optimizers via Priority Ranking
2026 · Ong, Kai Tzu-iunn, Kang, Minseok, et al. · arXiv (Cornell University)
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On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length
2026 · Kim, Sunghwan, Cho, Junhee, et al. · arXiv (Cornell University)
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PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints
2026 · Park, Minjun, Kim, Donghyun, et al. · arXiv (Cornell University)
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Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory Utilization
2025 · Kwon, Taeyoon, Choi, Dongwook, et al. · arXiv (Cornell University)
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Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
2025 · Sunghwan Kim, Dongjin Kang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Evaluating Robustness of Reward Models for Mathematical Reasoning
2024 · Kim, Sunghwan, Kang, Dongjin, et al. · arXiv (Cornell University)
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Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code
2024 · Chae, Hyungjoo, Kwon, Taeyoon, et al. · arXiv (Cornell University)
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Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations
2024 · Ong, Kai Tzu-iunn, Kwon, Taeyoon, et al. · arXiv (Cornell University)
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Towards Lifelong Dialogue Agents via Timeline-based Memory Management
2024 · Ong, Kai Tzu-iunn, Kim, Namyoung, et al. · arXiv (Cornell University)
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Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation
2024 · Kang, Dongjin, Kim, Sunghwan, et al. · arXiv (Cornell University)
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Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
2024 · Hyungjoo Chae, Yeonghyeon Kim, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents
2023 · Chae, Hyungjoo, Song, Yongho, et al. · arXiv (Cornell University)
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Works count: 28
Citation count: 108
H-index: 4
I10-index: 3
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