Azim Ospanov

11 papers A* 1A 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error.
CoRR
Farzan Farnia, Mohammad Jalali, Azim Ospanov
2025 J jnl
APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning.
CoRR
Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh
2025 — conf
An Information-Theoretic Approach to Diversity Evaluation of Prompt-Based Generative Models.
ICCVW
Mohammad Jalali, Azim Ospanov, Amin Gohari, Farzan Farnia
2025 A conf
Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees.
UAI
Azim Ospanov, Farzan Farnia
2025 J jnl
HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs.
CoRR
Azim Ospanov, Zijin Feng, Jiacheng Sun, Haoli Bai, Shen Xin, Farzan Farnia
2025 J jnl
miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward.
CoRR
Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh
2024 J jnl
Conditional Vendi Score: An Information-Theoretic Approach to Diversity Evaluation of Prompt-based Generative Models.
CoRR
Mohammad Jalali, Azim Ospanov, Amin Gohari, Farzan Farnia
2024 J jnl
Dissecting CLIP: Decomposition with a Schur Complement-based Approach.
CoRR
Azim Ospanov, Mohammad Jalali, Farzan Farnia
2024 J jnl
On the Statistical Complexity of Estimating VENDI Scores from Empirical Data.
CoRR
Azim Ospanov, Farzan Farnia
2024 A* conf
Towards a Scalable Reference-Free Evaluation of Generative Models.
NeurIPS
Azim Ospanov, Jingwei Zhang, Mohammad Jalali, Xuenan Cao, Andrej Bogdanov, Farzan Farnia
2024 J jnl
Towards a Scalable Reference-Free Evaluation of Generative Models.
CoRR
Azim Ospanov, Jingwei Zhang, Mohammad Jalali, Xuenan Cao, Andrej Bogdanov, Farzan Farnia