11 papers
Self-Paced Learning for Images of Antinuclear Antibodies
Yiyang Jiang, Guangwu Qian, Jiaxin Wu +4
Antinuclear antibody (ANA) testing is a crucial method for diagnosing autoimmune disorders, including lupus, Sjögren's syndrome, and scleroderma. Despite its importance, manual AN…
Adaptive Multi-Agent Reasoning for Text-to-Video Retrieval
Jiaxin Wu, Xiao-Yong Wei, Qing Li
The rise of short-form video platforms and the emergence of multimodal large language models (MLLMs) have amplified the need for scalable, effective, zero-shot text-to-video retrie…
Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond
Rubing Chen, Jiaxin Wu, Jian Wang +5
The increasing demand for domain-specific evaluation of large language models (LLMs) has led to the development of numerous benchmarks. These efforts often adhere to the principle…
MolGround: A Benchmark for Molecular Grounding
Jiaxin Wu, Ting Zhang, Rubing Chen +4
Current molecular understanding approaches predominantly focus on the descriptive aspect of human perception, providing broad, topic-level insights. However, the referential aspect…
Knowledge Pyramid Construction for Multi-Level Retrieval-Augmented Generation
Rubing Chen, Xulu Zhang, Jiaxin Wu +3
This paper addresses the need for improved precision in existing knowledge-enhanced question-answering frameworks, specifically Retrieval-Augmented Generation (RAG) methods that pr…
Mean of Means: Human Localization with Calibration-free and Unconstrained Camera Settings (extended version)
Tianyi Zhang, Wengyu Zhang, Xulu Zhang +4
Accurate human localization is crucial for various applications, especially in the Metaverse era. Existing high precision solutions rely on expensive, tag-dependent hardware, while…