1 citations · 1 across the 4 of their papers we have counts for
6 papers
ToolSearcher: Optimizing Tool Selection at Scale via Reinforcement Learning
Zhenlong Dai, Xujie Song, Zitong Wang +7
Large language models (LLMs) excel at natural language processing but struggle to interact with external environments. Tool learning provides a promising way to extend LLMs into ac…
Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement
Zhenlong Dai, Zhuoluo Zhao, Hengning Wang +5
With the development of large language models (LLMs) in the field of programming, intelligent programming coaching systems have gained widespread attention. However, most research…
Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning
Guoyan Liang, Qin Zhou, Jingyuan Chen +2
Medical Image Segmentation (MIS) plays a crucial role in medical therapy planning and robot navigation. Prototype learning methods in MIS focus on generating segmentation masks thr…
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
Guoyan Liang, Qin Zhou, Jingyuan Chen +6
Malignant brain tumors have become an aggressive and dangerous disease that leads to death worldwide.Multi-modal MRI data is crucial for accurate brain tumor segmentation, but miss…
Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation
Qin Zhou, Guoyan Liang, Xindi Li +4
Automated radiology report generation is essential for improving diagnostic efficiency and reducing the workload of medical professionals. However, existing methods face significan…
MPCODER: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning
Zhenlong Dai, Chang Yao, WenKang Han +3
Large Language Models (LLMs) have demonstrated great potential for assisting developers in their daily development. However, most research focuses on generating correct code, how t…