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Azim Ospanov

Observed name: Ospanov, Azim
Observed institution: Chinese University of Hong Kong
OpenAlex ID: A5114188122
An Information-Theoretic Approach to Diversity Evaluation of Prompt-Based Generative Models
2025 · Mohammad Jalali, Azim Ospanov, et al. · IEEE International Conference on Computer Vision Workshops · 2
APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning
2025 · Azim Ospanov, Farzan Farnia, et al. · neural information processing systems · 2
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Towards a Scalable Reference-Free Evaluation of Generative Models
2024 · Azim Ospanov, Jingwei Zhang, et al. · neural information processing systems · 2
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Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees
2024 · Ospanov, Azim, Farnia, Farzan · arXiv (Cornell University) · 1
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Can LLMs Reliably Grade Olympiad Proofs? A Study of Mathematical Verification with LLMs
2026 · Ospanov, Azim, Feng, Zijin, et al. · arXiv (Cornell University)
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The KIP Dataset: Socialist Popular Science in a Sino-Soviet Image Dataset Based on Chinese and Soviet magazines (1956-1962)
2026 · Zhao, Ye, Ospanov, Azim, et al. · Harvard Dataverse
Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error
2026 · Farnia, Farzan, Jalali, Mohammad, et al. · arXiv (Cornell University)
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The Knowledge is Power (KIP) Dataset
2026 · Ospanov, Azim, ZHAO Ye, et al. · CUHK Research Data Repository
Scendi Score: Prompt-Aware Diversity Evaluation Via Schur Complement of Clip Embeddings
2025 · Azim Ospanov, Mohammad Jalali, et al. · IEEE/CVF International Conference on Computer Vision (ICCV)
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miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward
2025 · Azim Ospanov, Farzan Farnia, et al. · neural information processing systems
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Conditional Vendi Score: Prompt-Aware Diversity Evaluation for Generative AI Models and LLMs
2024 · Jalali, Mohammad, Ospanov, Azim, et al. · arXiv (Cornell University)
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Works count: 12
Citation count: 7
H-index: 2
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