Candidates will develop reinforcement learning methods for post-training large dLLMs and explore reasoning-aware generation strategies to improve model capabilities. Responsibilities include building benchmarks for reasoning evaluation and conducting large-scale experimentation. Applicants must hold a Master's degree in computer science, mathematics, physics, or a related field and possess strong coding and implementation skills.
(KI generierte Zusammenfassung)
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