6 papers
PiPMRE: A Pipeline Based on Language Model for Medical Relation Extraction
Jiaxin Duan, Fengyu Lu, Junfei Liu
Medical relation extraction (MRE) is commonly known for extracting entities and their relations jointly from a medical text, which has attracted considerable attention in recent ye…
Improving Parameter Utilization by Sharing Neural Experts Across Layers in Transformers
Dian Jiao, Jiaxin Duan, Shuai Zhao +3
Transformer-based large language models often suffer from inter-layer parameter redundancy, where functional transformations are redundantly learned across network depths. We propo…
ViCo: Visual-oriented Coding with Self-Reflection for Chart Replication
Jiaxin Duan, Dian Jiao Shuai Zhao, Jiabing Leng +2
This paper addresses the challenge of generating high-quality academic charts that match the visual standards of human-authored papers. While existing AI agents can produce well-st…
TF-CoDiT: Conditional Time Series Synthesis with Diffusion Transformers for Treasury Futures
Yingxiao Zhang, Jiaxin Duan, Junfu Zhang +1
Diffusion Transformers (DiT) have achieved milestones in synthesizing financial time-series data, such as stock prices and order flows. However, their performance in synthesizing t…
Global Context Compression with Interleaved Vision-Text Transformation
Dian Jiao, Jiaxin Duan, Shuai Zhao +3
Recent achievements of vision-language models in end-to-end OCR point to a new avenue for low-loss compression of textual information. This motivates earlier works that render the…
CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction
Jiaxin Duan, Fengyu Lu, Junfei Liu
Generative relation extraction (RE) commonly involves first reformulating RE as a linguistic modeling problem easily tackled with pre-trained language models (PLM) and then fine-tu…