5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Diagnose, Then Repair: A Two-Stage MQM-Guided Post-Editing Framework for Domain-Specific Machine Translation
Ji Hun Wang, Siyu Wu
LLM-based machine translation evaluation can closely match human judgments, but in practice it remains largely diagnostic, with the signals rarely translating into direct quality i…
cs.LG2024★ 5 cited
Many-Shot In-Context Learning in Multimodal Foundation Models
Yixing Jiang, Jeremy Irvin, Ji Hun Wang +3
Large language models are effective at few-shot in-context learning (ICL). Recent advancements in multimodal foundation models have enabled unprecedentedly long context windows, pr…
cs.CV2023★ 1 cited
Weakly-semi-supervised object detection in remotely sensed imagery
Ji Hun Wang, Jeremy Irvin, Beri Kohen Behar +4
Deep learning for detecting objects in remotely sensed imagery can enable new technologies for important applications including mitigating climate change. However, these models oft…