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Andrew Zhao

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
2025 · Zhiqi Chen, Rui Lu, et al. · neural information processing systems · 6
Synthesizing Formal Network Specifications From Input-Output Examples
2022 · Haoxian Chen, Chenyuan Wu, et al. · IEEE/ACM Transactions on Networking · 6
Timestral
2026 · Petralia, Adrien, Gavaudan, Alexandre, et al. · arXiv (Cornell University)
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Participant-Mediated Collection of Sensitive Digital Trace Data: The CANDOR Research Infrastructure
2026 · Zhao, Andrew, Magu, Rijul, et al. · arXiv (Cornell University)
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SPADE: Self-Play in Adaptive Synthetic Executable Environments
2026 · Liu, Bo, Yu, Simon, et al. · arXiv (Cornell University)
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Mitigating Over-Personalization in LLMs via Structured Memory
2026 · Hannoon, Hakeem, Zhao, Andrew, et al. · arXiv (Cornell University)
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Shieldstral
2026 · Calvi, Antonia, Sooriyarachchi, Avinash, et al. · arXiv (Cornell University)
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Robostral Navigate
2026 · Bounhar, Abdelaziz, Somani, Abhijeet, et al. · arXiv (Cornell University)
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Modeling and Testing Array Generation Techniques for Grid Image Refractometry on OMEGA EP
2026 · Zhao, Andrew, Mizes, Kevin · UR Research (University of Rochester)
Voxtral TTS
2026 · Mistral-AI, :, et al. · arXiv (Cornell University)
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Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers
2026 · Association for Computational Linguistics 2026, Carvalho, Vitor R., et al. · Underline Science Inc.
Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers
2026 · Andrew Zhao, Reshmi Ghosh, et al. · Conference of the European Chapter of the Association for Computational Linguistics
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IPC evolution thru declarative interface generation
2021 · Nik Sultana, Saket, et al.
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Works count: 14
Citation count: 12
H-index: 2
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