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08/30/2023
Prompting Vision Language Model with Knowledge from Large Language Model for Knowledge-Based VQA
Knowledge-based visual question answering is a very challenging and wide...
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08/28/2023
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models
The unprecedented performance of large language models (LLMs) requires c...
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08/25/2023
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons
Pre-trained language models (PLMs) contain vast amounts of factual knowl...
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08/17/2023
Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification
Endoscopy plays a major role in identifying any underlying abnormalities...
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06/03/2021
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement
Current models for event causality identification (ECI) mainly adopt a s...
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06/03/2021
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification
Modern models for event causality identification (ECI) are mainly based ...
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03/03/2021
CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge
In this paper, we present CogNet, a knowledge base (KB) dedicated to int...
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11/03/2020
Joint Entity and Relation Extraction with Set Prediction Networks
The joint entity and relation extraction task aims to extract all relati...
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10/21/2020
KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision
Modern models of event causality detection (ECD) are mainly based on sup...
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09/22/2020
Event Coreference Resolution via a Multi-loss Neural Network without Using Argument Information
Event coreference resolution(ECR) is an important task in Natural Langua...
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09/22/2020
Towards Causal Explanation Detection with Pyramid Salient-Aware Network
Causal explanation analysis (CEA) can assist us to understand the reason...
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08/12/2020
Distantly Supervised Relation Extraction in Federated Settings
This paper investigates distantly supervised relation extraction in fede...
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04/04/2020
Knowledge Guided Metric Learning for Few-Shot Text Classification
The training of deep-learning-based text classification models relies he...
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03/09/2020