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07/14/2023
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms
Machine learning algorithms have become ubiquitous in a number of applic...
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06/21/2023
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue
Large multimodal language models (LMMs) have achieved significant succes...
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06/19/2023
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving
Although pre-trained language models (PLMs) have recently advanced the r...
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05/23/2023
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models
Although large language models (LLMs) have achieved excellent performanc...
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02/27/2023
OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion
3D Semantic Scene Completion (SSC) can provide dense geometric and seman...
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01/18/2023
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training
Understanding mathematical questions effectively is a crucial task, whic...
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09/01/2022
Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecu
We introduce an explorative active learning (AL) algorithm based on Gaus...
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06/13/2022
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding
This paper aims to advance the mathematical intelligence of machines by ...
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05/03/2022
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models
Nowadays, pretrained language models (PLMs) have dominated the majority ...
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03/22/2022
WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training models
Compared with the domain-specific model, the vision-language pre-trainin...
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01/03/2022
RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark
Ophthalmologists have used fundus images to screen and diagnose eye dise...
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11/18/2021
Lidar with Velocity: Motion Distortion Correction of Point Clouds from Oscillating Scanning Lidars
Lidar point cloud distortion from moving object is an important problem ...
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07/15/2021
A life-long SLAM approach using adaptable local maps based on rasterized LIDAR images
Most real-time autonomous robot applications require a robot to traverse...
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03/19/2021
6-DOF Feature based LIDAR SLAM using ORB Features from Rasterized Images of 3D LIDAR Point Cloud
An accurate and computationally efficient SLAM algorithm is vital for mo...
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09/30/2019
