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08/29/2023
When Do Program-of-Thoughts Work for Reasoning?
The reasoning capabilities of Large Language Models (LLMs) play a pivota...
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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...
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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...
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05/23/2023
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres
Event-centric structured prediction involves predicting structured outpu...
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05/22/2023
Editing Large Language Models: Problems, Methods, and Opportunities
Recent advancements in deep learning have precipitated the emergence of ...
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05/22/2023
Making Language Models Better Tool Learners with Execution Feedback
Tools serve as pivotal interfaces that enable humans to understand and r...
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05/19/2023
InstructIE: A Chinese Instruction-based Information Extraction Dataset
We introduce a new Information Extraction (IE) task dubbed Instruction-b...
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05/15/2023
Knowledge Rumination for Pre-trained Language Models
Previous studies have revealed that vanilla pre-trained language models ...
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05/15/2023
Schema-adaptable Knowledge Graph Construction
Conventional Knowledge Graph Construction (KGC) approaches typically fol...
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05/15/2023
Continual Multimodal Knowledge Graph Construction
Multimodal Knowledge Graph Construction (MKGC) involves creating structu...
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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...
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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...
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01/25/2023
Editing Language Model-based Knowledge Graph Embeddings
Recently decades have witnessed the empirical success of framing Knowled...
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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...
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12/19/2022
Reasoning with Language Model Prompting: A Survey
Reasoning, as an essential ability for complex problem-solving, can prov...
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11/14/2022
On Analyzing the Role of Image for Visual-enhanced Relation Extraction
Multimodal relation extraction is an essential task for knowledge graph ...
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10/23/2022
Generative Knowledge Graph Construction: A Review
Generative Knowledge Graph Construction (KGC) refers to those methods th...
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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...
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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...
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10/01/2022
Multimodal Analogical Reasoning over Knowledge Graphs
Analogical reasoning is fundamental to human cognition and holds an impo...
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10/01/2022
PromptKG: A Prompt Learning Framework for Knowledge Graph Representation Learning and Application
Knowledge Graphs (KGs) often have two characteristics: heterogeneous gra...
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09/30/2022
Construction and Applications of Open Business Knowledge Graph
Business Knowledge Graph is important to many enterprises today, providi...
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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 ...
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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...
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05/29/2022
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
Prompt learning approaches have made waves in natural language processin...
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05/22/2022
Relphormer: Relational Graph Transformer for Knowledge Graph Representation
Transformers have achieved remarkable performance in widespread fields, ...
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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...
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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...
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05/04/2022
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
Multimodal Knowledge Graphs (MKGs), which organize visual-text factual k...
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05/04/2022
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning
Pre-trained language models have contributed significantly to relation e...
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04/09/2022
Contrastive Demonstration Tuning for Pre-trained Language Models
Pretrained language models can be effectively stimulated by textual prom...
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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...
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02/16/2022
Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective
Knowledge Extraction (KE) which aims to extract structural information f...
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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...
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01/27/2022
Ontology-enhanced Prompt-tuning for Few-shot Learning
Few-shot Learning (FSL) is aimed to make predictions based on a limited ...
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01/23/2022
OntoProtein: Protein Pretraining With Gene Ontology Embedding
Self-supervised protein language models have proved their effectiveness ...
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01/15/2022
Kformer: Knowledge Injection in Transformer Feed-Forward Layers
Knowledge-Enhanced Model have developed a diverse set of techniques for ...
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01/14/2022
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings
Previous knowledge graph embedding approaches usually map entities to re...
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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...
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12/02/2021
LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training
Natural language generation from structured data mainly focuses on surfa...
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10/04/2021
3D-Transformer: Molecular Representation with Transformer in 3D Space
Spatial structures in the 3D space are important to determine molecular ...
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10/01/2021
Learning to Ask for Data-Efficient Event Argument Extraction
Event argument extraction (EAE) is an important task for information ext...
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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...
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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...
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08/30/2021
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Large-scale pre-trained language models have contributed significantly t...
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08/20/2021
Knowledge Perceived Multi-modal Pretraining in E-commerce
In this paper, we address multi-modal pretraining of product data in the...
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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 ...
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06/15/2021
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Artificial Intelligence (AI), along with the recent progress in biomedic...
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06/07/2021
Document-level Relation Extraction as Semantic Segmentation
Document-level relation extraction aims to extract relations among multi...
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06/03/2021