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09/09/2023
DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions
Multiple object tracking (MOT) tends to become more challenging when sev...
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09/03/2023
Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning
Scene text recognition has been studied for decades due to its broad app...
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09/03/2023
Orientation-Independent Chinese Text Recognition in Scene Images
Scene text recognition (STR) has attracted much attention due to its bro...
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08/10/2023
A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment
Training large language models (LLMs) with open-domain instruction data ...
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08/03/2023
Wider and Deeper LLM Networks are Fairer LLM Evaluators
Measuring the quality of responses generated by LLMs is a challenging ta...
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06/30/2023
Preference Ranking Optimization for Human Alignment
Large language models (LLMs) often contain misleading content, emphasizi...
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06/29/2023
Unified Language Representation for Question Answering over Text, Tables, and Images
When trying to answer complex questions, people often rely on multiple s...
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06/08/2023
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
We consider the prediction of the Hamiltonian matrix, which finds use in...
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05/18/2023
Causal Document-Grounded Dialogue Pre-training
The goal of document-grounded dialogue (DocGD) is to generate a response...
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05/09/2023
Privacy-Preserving Collaborative Chinese Text Recognition with Federated Learning
In Chinese text recognition, to compensate for the insufficient local da...
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04/14/2023
API-Bank: A Benchmark for Tool-Augmented LLMs
Recent research has shown that Large Language Models (LLMs) can utilize ...
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03/20/2023
Weakly-Supervised Text Instance Segmentation
Text segmentation is a challenging vision task with many downstream appl...
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03/18/2023
Uncertainty-aware U-Net for Medical Landmark Detection
Heatmap-based methods play an important role in anatomical landmark dete...
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02/23/2023
Coarse-to-Fine Knowledge Selection for Document Grounded Dialogs
Multi-document grounded dialogue systems (DGDS) belong to a class of con...
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11/29/2022
Towards Generalized Open Information Extraction
Open Information Extraction (OpenIE) facilitates the open-domain discove...
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11/24/2022
Chinese Character Recognition with Radical-Structured Stroke Trees
The flourishing blossom of deep learning has witnessed the rapid develop...
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11/23/2022
Semi-Supervised Lifelong Language Learning
Lifelong learning aims to accumulate knowledge and alleviate catastrophi...
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10/20/2022
Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots
This paper introduces Doc2Bot, a novel dataset for building machines tha...
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10/14/2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
Lifelong learning (LL) is vital for advanced task-oriented dialogue (ToD...
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07/14/2022
Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration
Building document-grounded dialogue systems have received growing intere...
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06/15/2022
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems
We present results from a large-scale experiment on pretraining encoders...
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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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12/30/2021
Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study
The flourishing blossom of deep learning has witnessed the rapid develop...
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12/13/2021
Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution
In the last decade, the blossom of deep learning has witnessed the rapid...
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04/20/2021
Interventional Aspect-Based Sentiment Analysis
Recent neural-based aspect-based sentiment analysis approaches, though a...
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02/09/2021
On Explainability of Graph Neural Networks via Subgraph Explorations
We consider the problem of explaining the predictions of graph neural ne...
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12/31/2020
Explainability in Graph Neural Networks: A Taxonomic Survey
Deep learning methods are achieving ever-increasing performance on many ...
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10/30/2020
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction
Current supervised relational triple extraction approaches require huge ...
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10/11/2020
Mining Truck Platooning Patterns Through Massive Trajectory Data
Truck platooning refers to a series of trucks driving in close proximity...
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09/15/2020
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis
Long-tailed relation classification is a challenging problem as the head...
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09/14/2020