Azim Ospanov

According to our database, Azim Ospanov authored at least 12 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error.

Farzan Farnia, Mohammad Jalali, Azim Ospanov

CoRR, February, 2026

2025

HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs.

Azim Ospanov, Zijin Feng, Jiacheng Sun, Haoli Bai, Shen Xin, Farzan Farnia

CoRR, November, 2025

miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward.

Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh

CoRR, November, 2025

APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning.

Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh

CoRR, May, 2025

Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees.

Azim Ospanov, Farzan Farnia

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward.

Azim Ospanov, Farzan Farnia, Roozbeh Mohit

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Scendi Score: Prompt-Aware Diversity Evaluation Via Schur Complement of Clip Embeddings.

Azim Ospanov, Mohammad Jalali, Farzan Farnia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

An Information-Theoretic Approach to Diversity Evaluation of Prompt-Based Generative Models.

Mohammad Jalali, Azim Ospanov, Amin Gohari, Farzan Farnia

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

Dissecting CLIP: Decomposition with a Schur Complement-based Approach.

Azim Ospanov, Mohammad Jalali, Farzan Farnia

CoRR, 2024

Conditional Vendi Score: An Information-Theoretic Approach to Diversity Evaluation of Prompt-based Generative Models.

Mohammad Jalali, Azim Ospanov, Amin Gohari, Farzan Farnia

CoRR, 2024

On the Statistical Complexity of Estimating VENDI Scores from Empirical Data.

Azim Ospanov, Farzan Farnia

CoRR, 2024

Towards a Scalable Reference-Free Evaluation of Generative Models.

Azim Ospanov, Jingwei Zhang, Mohammad Jalali, Xuenan Cao, Andrej Bogdanov, Farzan Farnia

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024