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Victor-Alexandru Pădurean

2 accepted papers

2025

Inference-Time Personalized Alignment with a Few User Preference Queries

NeurIPS 2025poster

We study the problem of aligning a generative model's response with a user's preferences. Recent works have proposed several different formulations for personalized alignment; however, they either require a large amount of user preference queries or require that the preference be explicitly specifie…

Cited by 0Source ↗Scholar ↗
2024

Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming

NeurIPS 2024poster

Generative models have demonstrated human-level proficiency in various benchmarks across domains like programming, natural sciences, and general knowledge. Despite these promising results on competitive benchmarks, they still struggle with seemingly simple problem-solving tasks typically carried out…

Cited by 5Source ↗PDF ↗Scholar ↗