most citedDecoding Urban Industrial Complexity: Enhancing Knowledge-Driven Insights via IndustryScopeGPT

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2025

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models

Luolin Xiong, Haofen Wang, Xi Chen +7

DeepSeek, a Chinese Artificial Intelligence (AI) startup, has released their V3 and R1 series models, which attracted global attention due to their low cost, high performance, and…

cs.CV2025

Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning

Qianyu Guo, Jingrong Wu, Tianxing Wu +3

Few-shot learning (FSL) has recently been extensively utilized to overcome the scarcity of training data in domain-specific visual recognition. In real-world scenarios, environment…

cs.CL2024

OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System

Yujie Luo, Xiangyuan Ru, Kangwei Liu +10

We introduce OneKE, a dockerized schema-guided knowledge extraction system, which can extract knowledge from the Web and raw PDF Books, and support various domains (science, news,…

cs.AI20244 cited

Decoding Urban Industrial Complexity: Enhancing Knowledge-Driven Insights via IndustryScopeGPT

Siqi Wang, Chao Liang, Yunfan Gao +3

Industrial parks are critical to urban economic growth. Yet, their development often encounters challenges stemming from imbalances between industrial requirements and urban servic…

cs.SE2024

Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation

Xinyu Gao, Yun Xiong, Deze Wang +4

Retrieval-augmented code generation utilizes Large Language Models as the generator and significantly expands their code generation capabilities by providing relevant code, documen…