4 citations · 9 across the 9 of their papers we have counts for
10 papers
GLM-5: from Vibe Coding to Agentic Engineering
GLM-5-Team, :, Aohan Zeng +184
We present GLM-5, a next-generation foundation model designed to transition the paradigm of vibe coding to agentic engineering. Building upon the agentic, reasoning, and coding (AR…
Computed Tomography Visual Question Answering with Cross-modal Feature Graphing
Yuanhe Tian, Chen Su, Junwen Duan +1
Visual question answering (VQA) in medical imaging aims to support clinical diagnosis by automatically interpreting complex imaging data in response to natural language queries. Ex…
CheXLearner: Text-Guided Fine-Grained Representation Learning for Progression Detection
Yuanzhuo Wang, Junwen Duan, Xinyu Li +1
Temporal medical image analysis is essential for clinical decision-making, yet existing methods either align images and text at a coarse level - causing potential semantic mismatch…
DDO: Dual-Decision Optimization for LLM-Based Medical Consultation via Multi-Agent Collaboration
Zhihao Jia, Mingyi Jia, Junwen Duan +1
Large Language Models (LLMs) demonstrate strong generalization and reasoning abilities, making them well-suited for complex decision-making tasks such as medical consultation (MC).…
ICA-RAG: Information Completeness Guided Adaptive Retrieval-Augmented Generation for Disease Diagnosis
Jiawei He, Mingyi Jia, Zhihao Jia +3
Retrieval-Augmented Large Language Models (LLMs), which integrate external knowledge, have shown remarkable performance in medical domains, including clinical diagnosis. However, e…
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction
Han Jiang, Junwen Duan, Zhe Qu +1
Unsupervised rationale extraction aims to extract text snippets to support model predictions without explicit rationale annotation. Researchers have made many efforts to solve this…
RUIE: Retrieval-based Unified Information Extraction using Large Language Model
Xincheng Liao, Junwen Duan, Yixi Huang +1
Unified information extraction (UIE) aims to extract diverse structured information from unstructured text. While large language models (LLMs) have shown promise for UIE, they requ…
Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
Siyin Wang, Xingsong Ye, Qinyuan Cheng +5
As Artificial General Intelligence (AGI) becomes increasingly integrated into various facets of human life, ensuring the safety and ethical alignment of such systems is paramount.…
medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs
Mingyi Jia, Junwen Duan, Yan Song +1
Electronic Medical Records (EMRs), while integral to modern healthcare, present challenges for clinical reasoning and diagnosis due to their complexity and information redundancy.…
You Only Forward Once: Prediction and Rationalization in A Single Forward Pass
Han Jiang, Junwen Duan, Zhe Qu +1
Unsupervised rationale extraction aims to extract concise and contiguous text snippets to support model predictions without any annotated rationale. Previous studies have used a tw…