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Phil Mui

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
2023 · Liu, Zhiwei, Yao, Weiran, et al. · arXiv (Cornell University) · 12
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Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
2023 · Yao, Weiran, Heinecke, Shelby, et al. · arXiv (Cornell University) · 10
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AI For Bias Detection: Investigating the Existence of Racial Bias in Police Killings
2021 · Anaiy Somalwar, Chinmay Bansal, et al. · IEEE MIT Undergraduate Research Technology Conference (URTC) · 5
REX: Rapid Exploration and eXploitation for AI Agents
2023 · Murthy, Rithesh, Heinecke, Shelby, et al. · arXiv (Cornell University) · 3
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DarwinX: Evolving Agent Harnesses Through Natural Selection
2026 · Zhang, Yifan, Dai, Yutong, et al. · arXiv (Cornell University) · 1
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Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
2024 · Chen, Haolin, Feng, Yihao, et al. · arXiv (Cornell University) · 1
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Scaling Knowledge Graph Construction through Synthetic Data Generation and Distillation
2024 · Choubey, Prafulla Kumar, Su, Xin, et al. · arXiv (Cornell University) · 1
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Modeling Unlearning and Relearning with Multi-Agent Q-Learning Systems
2024 · Maryam Solaiman, Theodore Mui, et al. · IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA) · 1
Modeling Misinformation With Q-Learning, Nim, and Multi-Agents
2022 · Elijah Huang, Phil Mui · IEEE MIT Undergraduate Research Technology Conference (URTC) · 1
Koa-decision: Fast and Consistent Structured Decision Making with Generative LLMs
2026 · Dai, Shenghong, Pentyala, Shiva Kumar, et al. · arXiv (Cornell University)
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Salesforce Koa: An Enterprise Language Model for Agentic Tool Use
2026 · Chen, Zixiang, Niu, Sufeng, et al. · arXiv (Cornell University)
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Co-Evolving Harnesses and Models: On-Policy Correction Helps Weaker Models Catch Up Where Imitation Fails
2026 · Yu, Zhou, Bi, Bin, et al. · arXiv (Cornell University)
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Regime Structure in Adaptive Tariff Conflicts: A Multi-Agent Reinforcement Learning Analysis
2026 · Nikhil Muthukumar, Micah Chiang, et al. · IEEE Conference on Computational Intelligence for Financial Engineering & Economics
Why are we Cynical? A Semantic Analysis of College Newspaper Opinions
2025 · Theodore Mui, Phil Mui · International Conference on Artificial Intelligence and Digital Ethics (ICAIDE)
Modeling Unlearning and Relearning with Multi-agent Q-Learning Systems
2024 · Maryam Solaiman, Theodore Mui, et al.
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Works count: 15
Citation count: 35
H-index: 3
I10-index: 2
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