activity
20182026
most citedKnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

370 citations · 1.3k across the 77 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.CL2023

Towards A Unified View of Answer Calibration for Multi-Step Reasoning

Shumin Deng, Ningyu Zhang, Nay Oo +1

Large Language Models (LLMs) employing Chain-of-Thought (CoT) prompting have broadened the scope for improving multi-step reasoning capabilities. We generally divide multi-step rea…

cs.CV2023★ 2 cited

From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal

Yun Guo, Xueyao Xiao, Yi Chang +2

Learning-based image deraining methods have made great progress. However, the lack of large-scale high-quality paired training samples is the main bottleneck to hamper the real ima…

cs.CL2023★ 2 cited

When Do Program-of-Thoughts Work for Reasoning?

Zhen Bi, Ningyu Zhang, Yinuo Jiang +3

In the realm of embodied artificial intelligence, the reasoning capabilities of Large Language Models (LLMs) play a pivotal role. Although there are effective methods like program-…

cs.CL2023★ 1 cited

SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres

Shumin Deng, Shengyu Mao, Ningyu Zhang +1

Event-centric structured prediction involves predicting structured outputs of events. In most NLP cases, event structures are complex with manifold dependency, and it is challengin…

cs.CL2023★ 12 cited

Editing Large Language Models: Problems, Methods, and Opportunities

Yunzhi Yao, Peng Wang, Bozhong Tian +5

Despite the ability to train capable LLMs, the methodology for maintaining their relevancy and rectifying errors remains elusive. To this end, the past few years have witnessed a s…

cs.CL2023★ 37 cited

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Yuqi Zhu, Xiaohan Wang, Jing Chen +6

This paper presents an exhaustive quantitative and qualitative evaluation of Large Language Models (LLMs) for Knowledge Graph (KG) construction and reasoning. We engage in experime…

cs.CL2023★ 5 cited

Continual Multimodal Knowledge Graph Construction

Xiang Chen, Jintian Zhang, Xiaohan Wang +5

Current Multimodal Knowledge Graph Construction (MKGC) models struggle with the real-world dynamism of continuously emerging entities and relations, often succumbing to catastrophi…