5 papers
Uncertainty-Aware Hybrid Retrieval for Long-Document RAG
Hoin Jung, Xiaoqian Wang
Retrieval augmented generation (RAG) depends critically on the quality and granularity of retrieved evidence. Large retrieval units preserve context but often introduce irrelevant…
The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems
Xiaoze Liu, Ruowang Zhang, Weichen Yu +7
Multi-Agent Systems (MAS) powered by Large Language Models have unlocked advanced collaborative reasoning, yet they remain bottlenecked by discrete text communication, which impose…
The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented Generation
Hoin Jung, Xiaoqian Wang
While Multimodal Large Language Models (MLLMs) are increasingly integrated with Retrieval-Augmented Generation (RAG) to mitigate hallucinations, the introduction of external docume…
IMPACT: Industrial Machine Perception via Acoustic Cognitive Transformer
Changheon Han, Yuseop Sim, Hoin Jung +7
Acoustic signals from industrial machines offer valuable insights for anomaly detection, predictive maintenance, and operational efficiency enhancement. However, existing task-spec…
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
Hoin Jung, Taeuk Jang, Xiaoqian Wang
Recent advancements in Vision-Language Models (VLMs) have enabled complex multimodal tasks by processing text and image data simultaneously, significantly enhancing the field of ar…