2 citations · 2 across the 5 of their papers we have counts for
6 papers
Learning to Revise Reasoning with Segment-wise On-Policy Distillation
Yuxiang Zhang, Ding Cao, Shuting Cui +3
On-policy distillation (OPD) improves large language model reasoning by training students on their own rollouts with dense token-wise supervision from the teacher. However, token-w…
BiPACE: Bisimulation-Guided Policy Optimization with Action Counterfactual Estimation for LLM Agents
Hanyang Wang, Weijieying Ren, Yuxiang Zhang +4
Stepwise group-based RL is an attractive way to train long-horizon LLM agents without a learned critic: it reuses multiple sampled rollouts to estimate local advantages. Its weakne…
A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models
Weijieying Ren, Jingxi Zhu, Zehao Liu +2
Artificial intelligence (AI) has demonstrated significant potential in transforming healthcare through the analysis and modeling of electronic health records (EHRs). However, the i…
DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction
Weijieying Ren, Tianxiang Zhao, Lei Wang +2
Recent advances in Large Language Models (LLMs) have led to remarkable progresses in medical consultation. However, existing medical LLMs overlook the essential role of Electronic…
Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions
Weijieying Ren, Tianxiang Zhao, Yuqing Huang +1
Tabular data remains one of the most prevalent data types across a wide range of real-world applications, yet effective representation learning for this domain poses unique challen…
EsaCL: Efficient Continual Learning of Sparse Models
Weijieying Ren, Vasant G Honavar
A key challenge in the continual learning setting is to efficiently learn a sequence of tasks without forgetting how to perform previously learned tasks. Many existing approaches t…