Ningyu Zhang
10 papers in the PaperMetrix corpus
Papers by this author
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Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
2019
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 …
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AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba
2021
Conceptual graphs, which is a particular type of Knowledge Graphs, play an essential role in semantic search. Prior conceptual graph construction approaches typically extract high-frequent, coarse-grained, and time-invariant concepts from formal texts such as Wikipedia. …
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NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs
2022 · arXiv (Cornell University)
NeuralKG is an open-source Python-based library for diverse representation learning of knowledge graphs. It implements three different series of Knowledge Graph Embedding (KGE) methods, including conventional KGEs, GNN-based KGEs, and Rule-based KGEs. With a unified …
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Knowledge Rumination for Pre-trained Language Models
2023 · arXiv (Cornell University)
Previous studies have revealed that vanilla pre-trained language models (PLMs) lack the capacity to handle knowledge-intensive NLP tasks alone; thus, several works have attempted to integrate external knowledge into PLMs. However, despite the promising outcome, …
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EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
2024 · arXiv (Cornell University)
In recent years, instruction tuning has gained increasing attention and emerged as a crucial technique to enhance the capabilities of Large Language Models (LLMs). To construct high-quality instruction datasets, many instruction processing approaches have been …
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Knowledge Mechanisms in Large Language Models: A Survey and Perspective
2024
Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang. Findings of the Association for Computational Linguistics: EMNLP 2024. …
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RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment
2024 · arXiv (Cornell University)
Large Language Models (LLMs) like GPT-4, MedPaLM-2, and Med-Gemini achieve performance competitively with human experts across various medical benchmarks. However, they still face challenges in making professional diagnoses akin to physicians, particularly in efficiently gathering …
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SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement
2025
Runnan Fang, Xiaobin Wang, Yuan Liang, Shuofei Qiao, Jialong Wu, Zekun Xi, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume …
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Document-level Relation Extraction as Semantic Segmentation
2021
Document-level relation extraction aims to extract relations among multiple entity pairs from a document. Previously proposed graph-based or transformer-based models utilize the entities independently, regardless of global information among relational triples. This paper approaches the …
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KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
2022 · Proceedings of the ACM Web Conference 2022
Recently, prompt-tuning has achieved promising results for specific few-shot classification tasks. The core idea of prompt-tuning is to insert text pieces (i.e., templates) into the input and transform a classification task into a masked language …