1 citations · 1 across the 4 of their papers we have counts for
4 papers
Do LLMs Truly Benefit from Longer Context in Automatic Post-Editing?
Ahrii Kim, Seong-heum Kim
Automatic post-editing (APE) aims to refine machine translations by correcting residual errors. Although recent large language models (LLMs) demonstrate strong translation capabili…
GTA-Crime: A Synthetic Dataset and Generation Framework for Fatal Violence Detection with Adversarial Snippet-Level Domain Adaptation
Seongho Kim, Sejong Ryu, Hyoukjun You +1
Recent advancements in video anomaly detection (VAD) have enabled identification of various criminal activities in surveillance videos, but detecting fatal incidents such as shooti…
DIP-R1: Deep Inspection and Perception with RL Looking Through and Understanding Complex Scenes
Sungjune Park, Hyunjun Kim, Junho Kim +2
MLLMs have demonstrated significant visual understanding capabilities, yet their fine-grained visual perception in complex real-world scenarios, such as densely crowded public area…
Survey and Evaluation of Converging Architecture in LLMs based on Footsteps of Operations
Seongho Kim, Jihyun Moon, Juntaek Oh +2
The advent of the Attention mechanism and Transformer architecture enables contextually natural text generation and compresses the burden of processing entire source information in…