Chenxiao Yang

Seq2Bubbles

2021

User behavior sequences contain rich information about user interests and are exploited to predict user's future clicking in sequential recommendation. Existing approaches, especially recently proposed deep learning models, often embed a sequence of clicked items …

Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning

2025 · arXiv (Cornell University)

Reinforcement learning with verifiable rewards (RLVR) is a powerful paradigm for enhancing the reasoning capabilities of large language models (LLMs), yet its success hinges on effective exploration. An ideal exploration strategy must navigate two fundamental …