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06/07/2023
Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning
Open-Domain Conversational Question Answering (ODConvQA) aims at answeri...
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06/07/2023
Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering
Large Language Models (LLMs) are capable of performing zero-shot closed-...
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05/30/2023
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Language models have achieved impressive performances on dialogue genera...
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05/28/2023
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
Large Language Models (LLMs) have shown promising performance in knowled...
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05/21/2023
Direct Fact Retrieval from Knowledge Graphs without Entity Linking
There has been a surge of interest in utilizing Knowledge Graphs (KGs) f...
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02/10/2023
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement
Conversational Question Answering (ConvQA) models aim at answering a que...
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08/23/2022
Object Detection in Aerial Images with Uncertainty-Aware Graph Network
In this work, we propose a novel uncertainty-aware object detection fram...
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06/21/2022
Personalized Subgraph Federated Learning
In real-world scenarios, subgraphs of a larger global graph may be distr...
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04/22/2022
KALA: Knowledge-Augmented Language Model Adaptation
Pre-trained language models (PLMs) have achieved remarkable success on v...
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03/15/2022
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation
Dense retrieval models, which aim at retrieving the most relevant docume...
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02/07/2022
Graph Self-supervised Learning with Accurate Discrepancy Learning
Self-supervised learning of graph neural networks (GNNs) aims to learn a...
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06/30/2021
Edge Representation Learning with Hypergraphs
Graph neural networks have recently achieved remarkable success in repre...
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05/03/2021
Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation
One of the challenges in information retrieval (IR) is the vocabulary mi...
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03/02/2021
Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning
Most conventional Neural Architecture Search (NAS) approaches are limite...
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02/23/2021
Accurate Learning of Graph Representations with Graph Multiset Pooling
Graph neural networks have been widely used on modeling graph data, achi...
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06/11/2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
Many practical graph problems, such as knowledge graph construction and ...
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04/11/2020