b'Ningyu Zhang'

research

∙ 08/29/2023

When Do Program-of-Thoughts Work for Reasoning?

The reasoning capabilities of Large Language Models (LLMs) play a pivota...

0 Zhen Bi, et al. ∙

research

∙ 08/21/2023

SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding

Large language models (LLMs) have shown impressive ability for open-doma...

0 Tianyu Yu, et al. ∙

research

∙ 08/14/2023

EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models

Large Language Models (LLMs) usually suffer from knowledge cutoff or fal...

0 Peng Wang, et al. ∙

research

∙ 05/23/2023

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

Event-centric structured prediction involves predicting structured outpu...

0 Shumin Deng, et al. ∙

research

∙ 05/22/2023

Editing Large Language Models: Problems, Methods, and Opportunities

Recent advancements in deep learning have precipitated the emergence of ...

0 Yunzhi Yao, et al. ∙

research

∙ 05/22/2023

Making Language Models Better Tool Learners with Execution Feedback

Tools serve as pivotal interfaces that enable humans to understand and r...

0 Shuofei Qiao, et al. ∙

research

∙ 05/19/2023

InstructIE: A Chinese Instruction-based Information Extraction Dataset

We introduce a new Information Extraction (IE) task dubbed Instruction-b...

0 Honghao Gui, et al. ∙

research

∙ 05/15/2023

Knowledge Rumination for Pre-trained Language Models

Previous studies have revealed that vanilla pre-trained language models ...

0 Yunzhi Yao, et al. ∙

research

∙ 05/15/2023

Schema-adaptable Knowledge Graph Construction

Conventional Knowledge Graph Construction (KGC) approaches typically fol...

0 Hongbin Ye, et al. ∙

research

∙ 05/15/2023

Continual Multimodal Knowledge Graph Construction

Multimodal Knowledge Graph Construction (MKGC) involves creating structu...

0 Xiang Chen, et al. ∙

research

∙ 05/02/2023

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

Scaling language models have revolutionized widespread NLP tasks, yet li...

0 Xin Xu, et al. ∙

research

∙ 01/25/2023

One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER

Cross-domain NER is a challenging task to address the low-resource probl...

0 Xiang Chen, et al. ∙

research

∙ 01/25/2023

Editing Language Model-based Knowledge Graph Embeddings

Recently decades have witnessed the empirical success of framing Knowled...

0 Siyuan Cheng, et al. ∙

research

∙ 01/02/2023

A Concept Knowledge Graph for User Next Intent Prediction at Alipay

This paper illustrates the technologies of user next intent prediction w...

0 Yacheng He, et al. ∙

research

∙ 12/19/2022

Reasoning with Language Model Prompting: A Survey

Reasoning, as an essential ability for complex problem-solving, can prov...

0 Shuofei Qiao, et al. ∙

research

∙ 11/14/2022

On Analyzing the Role of Image for Visual-enhanced Relation Extraction

Multimodal relation extraction is an essential task for knowledge graph ...

0 Lei Li, et al. ∙

research

∙ 10/23/2022

Generative Knowledge Graph Construction: A Review

Generative Knowledge Graph Construction (KGC) refers to those methods th...

0 Hongbin Ye, et al. ∙

research

∙ 10/19/2022

Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction

Information Extraction, which aims to extract structural relational trip...

0 Yunzhi Yao, et al. ∙

research

∙ 10/19/2022

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

This paper presents an empirical study to build relation extraction syst...

0 Xin Xu, et al. ∙

research

∙ 10/01/2022

Multimodal Analogical Reasoning over Knowledge Graphs

Analogical reasoning is fundamental to human cognition and holds an impo...

0 Ningyu Zhang, et al. ∙

research

∙ 10/01/2022

PromptKG: A Prompt Learning Framework for Knowledge Graph Representation Learning and Application

Knowledge Graphs (KGs) often have two characteristics: heterogeneous gra...

0 Xin Xie, et al. ∙

research

∙ 09/30/2022

Construction and Applications of Open Business Knowledge Graph

Business Knowledge Graph is important to many enterprises today, providi...

11 Shumin Deng, et al. ∙

research

∙ 09/07/2022

Shifting Perspective to See Difference: A Novel Multi-View Method for Skeleton based Action Recognition

Skeleton-based human action recognition is a longstanding challenge due ...

0 Ruijie Hou, et al. ∙

research

∙ 07/26/2022

LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection

Visual question answering (VQA) often requires an understanding of visua...

1 Zhuo Chen, et al. ∙

research

∙ 05/29/2022

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning

Prompt learning approaches have made waves in natural language processin...

0 Xiang Chen, et al. ∙

research

∙ 05/22/2022

Relphormer: Relational Graph Transformer for Knowledge Graph Representation

Transformers have achieved remarkable performance in widespread fields, ...

0 Zhen Bi, et al. ∙

research

∙ 05/22/2022

Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce

In e-commerce, the salience of commonsense knowledge (CSK) is beneficial...

0 Yincen Qu, et al. ∙

research

∙ 05/07/2022

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction

Multimodal named entity recognition and relation extraction (MNER and MR...

0 Xiang Chen, et al. ∙

research

∙ 05/04/2022

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

Multimodal Knowledge Graphs (MKGs), which organize visual-text factual k...

0 Xiang Chen, et al. ∙

research

∙ 05/04/2022

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning

Pre-trained language models have contributed significantly to relation e...

0 Xiang Chen, et al. ∙

research

∙ 04/09/2022

Contrastive Demonstration Tuning for Pre-trained Language Models

Pretrained language models can be effectively stimulated by textual prom...

0 Xiaozhuan Liang, et al. ∙

research

∙ 02/25/2022

NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs

NeuralKG is an open-source Python-based library for diverse representati...

0 Wen Zhang, et al. ∙

research

∙ 02/16/2022

Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective

Knowledge Extraction (KE) which aims to extract structural information f...

0 Shumin Deng, et al. ∙

research

∙ 02/04/2022

From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer

Knowledge graph completion aims to address the problem of extending a KG...

0 Xin Xie, et al. ∙

research

∙ 01/27/2022

Ontology-enhanced Prompt-tuning for Few-shot Learning

Few-shot Learning (FSL) is aimed to make predictions based on a limited ...

0 Hongbin Ye, et al. ∙

research

∙ 01/23/2022

OntoProtein: Protein Pretraining With Gene Ontology Embedding

Self-supervised protein language models have proved their effectiveness ...

0 Ningyu Zhang, et al. ∙

research

∙ 01/15/2022

Kformer: Knowledge Injection in Transformer Feed-Forward Layers

Knowledge-Enhanced Model have developed a diverse set of techniques for ...

0 Yunzhi Yao, et al. ∙

research

∙ 01/14/2022

Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings

Previous knowledge graph embedding approaches usually map entities to re...

0 Ningyu Zhang, et al. ∙

research

∙ 01/10/2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population

We present a new open-source and extensible knowledge extraction toolkit...

79 Ningyu Zhang, et al. ∙

research

∙ 12/02/2021

LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training

Natural language generation from structured data mainly focuses on surfa...

0 Ningyu Zhang, et al. ∙

research

∙ 10/04/2021

3D-Transformer: Molecular Representation with Transformer in 3D Space

Spatial structures in the 3D space are important to determine molecular ...

5 Fang Wu, et al. ∙

research

∙ 10/01/2021

Learning to Ask for Data-Efficient Event Argument Extraction

Event argument extraction (EAE) is an important task for information ext...

0 Hongbin Ye, et al. ∙

research

∙ 09/17/2021

SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) is an emerging fine-grained senti...

0 Chengxi Li, et al. ∙

research

∙ 08/31/2021

LightNER: A Lightweight Generative Framework with Prompt-guided Attention for Low-resource NER

Most existing NER methods rely on extensive labeled data for model train...

0 Xiang Chen, et al. ∙

research

∙ 08/30/2021

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

Large-scale pre-trained language models have contributed significantly t...

0 Ningyu Zhang, et al. ∙

research

∙ 08/20/2021

Knowledge Perceived Multi-modal Pretraining in E-commerce

In this paper, we address multi-modal pretraining of product data in the...

0 Yushan Zhu, et al. ∙

research

∙ 06/18/2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction

Joint extraction of entities and relations from unstructured texts is a ...

0 Hengyi Zheng, et al. ∙

research

∙ 06/15/2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

Artificial Intelligence (AI), along with the recent progress in biomedic...

0 Ningyu Zhang, et al. ∙

research

∙ 06/07/2021

Document-level Relation Extraction as Semantic Segmentation

Document-level relation extraction aims to extract relations among multi...

0 Ningyu Zhang, et al. ∙

research

∙ 06/03/2021

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba

Conceptual graphs, which is a particular type of Knowledge Graphs, play ...

0 Ningyu Zhang, et al. ∙

Ningyu Zhang

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