28 citations · 28 across the 6 of their papers we have counts for
6 papers
Router Prior Bias: Preserving Base Routing Structure in MoE Post-Training
Jaedeok Lee, Keonwoo Kim, Dongyoon Han +3
Mixture-of-Experts (MoE) pretraining relies on an auxiliary load-balancing loss (LBL) to drive per-expert utilization toward uniformity. Post-training inherits a different situatio…
Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding
Yeongjae Cho, Keonwoo Kim, Taebaek Hwang +1
Recent advancements in Large Vision-Language Models (LVLMs) have significantly expanded their utility in tasks like image captioning and visual question answering. However, they st…
CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds
Keonwoo Kim, Yeongjae Cho, Taebaek Hwang +2
Recent research has demonstrated that Large Language Models (LLMs) are not limited to text-only tasks but can also function as multimodal models across various modalities, includin…
DEBATE: Devil's Advocate-Based Assessment and Text Evaluation
Alex Kim, Keonwoo Kim, Sangwon Yoon
As natural language generation (NLG) models have become prevalent, systematically assessing the quality of machine-generated texts has become increasingly important. Recent studies…
DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework
Keonwoo Kim, Younggun Lee
With the growing volume of diverse information, the demand for classifying arbitrary topics has become increasingly critical. To address this challenge, we introduce DRAFT, a simpl…
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
Junho Song, Keonwoo Kim, Jeonglyul Oh +1
Detecting anomalies in real-world multivariate time series data is challenging due to complex temporal dependencies and inter-variable correlations. Recently, reconstruction-based…