1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
DINORANKCLIP: DINOv3 Distillation and Injection for Vision-Language Pretraining with High-Order Ranking Consistency
Shuyang Jiang, Nan Yu, Yiming Zhang +2
Contrastive language-image pretraining (CLIP) suffers from two structural weaknesses: the symmetric InfoNCE loss discards the relative ordering among unmatched in-batch pairs, and…
cs.CV2023
Embodied Task Planning with Large Language Models
Zhenyu Wu, Ziwei Wang, Xiuwei Xu +2
Equipping embodied agents with commonsense is important for robots to successfully complete complex human instructions in general environments. Recent large language models (LLM) c…
cs.CL2023★ 1 cited
OpenICL: An Open-Source Framework for In-context Learning
Zhenyu Wu, YaoXiang Wang, Jiacheng Ye +4
In recent years, In-context Learning (ICL) has gained increasing attention and emerged as the new paradigm for large language model (LLM) evaluation. Unlike traditional fine-tuning…