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Zhongxia Chen

2 accepted papers

2026

Agentic Reinforced Policy Optimization

ICLR 2026poster

Large-scale reinforcement learning with verifiable rewards (RLVR) has proven effective in harnessing the potential of large language models (LLMs) for single-turn reasoning tasks. In realistic reasoning scenarios, LLMs often rely on external tools to assist in task-solving processes. However, curren…

Cited by 0SourcecodeScholar
2020

Towards Explainable Conversational Recommendation

IJCAI 2020poster

Recent studies have shown that both accuracy and explainability are important for recommendation. In this paper, we introduce explainable conversational recommendation, which enables incremental improvement of both recommendation accuracy and explanation quality through multi-turn user-model convers…

Cited by 0SourcePDFScholar