3 papers
cs.IR2026
Query, Decompose, Compress: Structured Query Expansion for Efficient Multi-Hop Retrieval
JungMin Yun, YoungBin Kim
Large Language Models (LLMs) have been increasingly employed for query expansion. However, their generative nature often undermines performance on complex multi-hop retrieval tasks…
cs.CL2025
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method
Mihyeon Kim, Juhyoung Park, Youngbin Kim
Pre-trained Language Models (PLMs) have achieved remarkable performance on diverse NLP tasks through pre-training and fine-tuning. However, fine-tuning the model with a large numbe…
cs.CV2024
Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation
JuneHyoung Kwon, Eunju Lee, Yunsung Cho +1
Weakly supervised semantic segmentation (WSSS) employing weak forms of labels has been actively studied to alleviate the annotation cost of acquiring pixel-level labels. However, c…