3 citations · 6 across the 8 of their papers we have counts for
4 papers · 1 filter
MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud Processing
Feifei Shao, Ping Liu, Zhao Wang +3
Point cloud processing (PCP) encompasses tasks like reconstruction, denoising, registration, and segmentation, each often requiring specialized models to address unique task charac…
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models
Jiabao Pan, Yan Zhang, Chen Zhang +3
Large language models (LLMs) have demonstrated emergent capabilities across diverse reasoning tasks via popular Chains-of-Thought (COT) prompting. However, such a simple and fast C…
Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
Tingyu Xie, Jian Zhang, Yan Zhang +3
The strong capability of large language models (LLMs) has been applied to information extraction (IE) through either retrieval augmented prompting or instruction tuning (IT). Howev…
Harmonizing Human Insights and AI Precision: Hand in Hand for Advancing Knowledge Graph Task
Shurong Wang, Yufei Zhang, Xuliang Huang +1
Knowledge graph embedding (KGE) has caught significant interest for its effectiveness in knowledge graph completion (KGC), specifically link prediction (LP), with recent KGE models…