Reinforced Latent Reasoning for LLM-based Recommendation

25 May 2025

Papers citing "Reinforced Latent Reasoning for LLM-based Recommendation"

8 / 8 papers shown

Title
Slow Thinking for Sequential Recommendation Junjie Zhang Beichen Zhang Wenqi Sun Hongyu Lu Wayne Xin Zhao Yu Chen Ji-Rong Wen OffRL LRM 70 1 0 13 Apr 2025
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation Jiakai Tang Sunhao Dai Teng Shi Jun Xu X. Chen Wen Chen Wu Jian Yuning Jiang LRM 126 8 0 28 Mar 2025
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning DiJia Su Hanlin Zhu Yingchen Xu Jiantao Jiao Yuandong Tian Qinqing Zheng LRM 85 21 0 05 Feb 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning DeepSeek-AI Daya Guo Dejian Yang Haowei Zhang Junxiao Song ... Shiyu Wang S. Yu Shunfeng Zhou Shuting Pan S.S. Li ReLM VLM OffRL AI4TS LRM 303 1,503 0 22 Jan 2025
Leveraging LLM Reasoning Enhances Personalized Recommender Systems Zhe Wang Adam Kraft Long Jin Chenwei Cai Anahita Hosseini Yuhua Ru Zemin Zhang Lichan Hong Ed H. Chi Xinyang Yi LRM 51 11 0 22 Jul 2024
Think before you speak: Training Language Models With Pause Tokens Sachin Goyal Ziwei Ji A. S. Rawat A. Menon Sanjiv Kumar Vaishnavh Nagarajan LRM 82 114 0 03 Oct 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 616 9,009 0 28 Jan 2022
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 187 1,500 0 08 Jun 2015