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09/14/2023
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions
Before applying data analytics or machine learning to a data set, a vita...
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09/05/2023
Data-Juicer: A One-Stop Data Processing System for Large Language Models
The immense evolution in Large Language Models (LLMs) has underscored th...
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09/02/2023
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models
Large language models (LLMs) have recently demonstrated remarkable capab...
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09/01/2023
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
LLMs have demonstrated great capabilities in various NLP tasks. Differen...
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08/31/2023
TouchStone: Evaluating Vision-Language Models by Language Models
Large vision-language models (LVLMs) have recently witnessed rapid advan...
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08/29/2023
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
Large language models (LLMs) have emerged as a new paradigm for Text-to-...
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08/24/2023
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
We introduce the Qwen-VL series, a set of large-scale vision-language mo...
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08/14/2023
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
Foundation language models obtain the instruction-following ability thro...
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08/09/2023
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation
Medical image analysis using deep learning is often challenged by limite...
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08/01/2023
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer in whi...
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07/20/2023
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
Lung cancer is a leading cause of death worldwide and early screening is...
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07/19/2023
SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
Estimating displacement vector field via a cost volume computed in the f...
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07/19/2023
CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility
With the rapid evolution of large language models (LLMs), there is a gro...
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07/17/2023
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
Liver tumor segmentation and classification are important tasks in compu...
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07/10/2023
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans
Gastric cancer is the third leading cause of cancer-related mortality wo...
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07/07/2023
Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images
Radiotherapists require accurate registration of MR/CT images to effecti...
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06/03/2023
VideoComposer: Compositional Video Synthesis with Motion Controllability
The pursuit of controllability as a higher standard of visual content cr...
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06/02/2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions
As Federated Learning (FL) has gained increasing attention, it has becom...
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05/18/2023
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
In this work, we explore a scalable way for building a general represent...
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04/16/2023
ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human
In this paper, we present ChatPLUG, a Chinese open-domain dialogue syste...
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04/15/2023
Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph
Real-world graphs are constantly evolving, which demands updates of the ...
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04/01/2023
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization
Real-world medical image segmentation has tremendous long-tailed complex...
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03/23/2023
FS-Real: Towards Real-World Cross-Device Federated Learning
Federated Learning (FL) aims to train high-quality models in collaborati...
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03/13/2023
ViM: Vision Middleware for Unified Downstream Transferring
Foundation models are pre-trained on massive data and transferred to dow...
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03/09/2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
Human brains respond to semantic features of presented stimuli with diff...
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03/02/2023
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT
Pancreatic cancer is one of the leading causes of cancer-related death. ...
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03/01/2023
Rethinking Efficient Tuning Methods from a Unified Perspective
Parameter-efficient transfer learning (PETL) based on large-scale pre-tr...
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02/20/2023
Composer: Creative and Controllable Image Synthesis with Composable Conditions
Recent large-scale generative models learned on big data are capable of ...
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02/01/2023
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
Recent years have witnessed a big convergence of language, vision, and m...
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02/01/2023
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans
Deep learning empowers the mainstream medical image segmentation methods...
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01/28/2023
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
Human readers or radiologists routinely perform full-body multi-organ mu...
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12/08/2022
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models
Generalist models, which are capable of performing diverse multi-modal t...
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11/29/2022
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition
In this paper, we propose a novel multi-modal multi-task encoder-decoder...
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11/29/2022
Dimensionality-Varying Diffusion Process
Diffusion models, which learn to reverse a signal destruction process to...
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11/21/2022
Neural Dependencies Emerging from Learning Massive Categories
This work presents two astonishing findings on neural networks learned f...
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11/02/2022
Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese
The tremendous success of CLIP (Radford et al., 2021) has promoted the r...
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07/07/2022
Device-Cloud Collaborative Recommendation via Meta Controller
On-device machine learning enables the lightweight deployment of recomme...
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07/05/2022
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing
Big data processing at the production scale presents a highly complex en...
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06/29/2022
Knowledge Distillation of Transformer-based Language Models Revisited
In the past few years, transformer-based pre-trained language models hav...
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06/11/2022
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment
In data mining, estimating the number of distinct values (NDV) is a fund...
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05/24/2022
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
Large-scale pretrained foundation models have been an emerging paradigm ...
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05/21/2022
Principled Knowledge Extrapolation with GANs
Human can extrapolate well, generalize daily knowledge into unseen scena...
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05/17/2022
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems
Industrial recommender systems have been growing increasingly complex, m...
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04/12/2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
The incredible development of federated learning (FL) has benefited vari...
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04/11/2022
FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing
Although remarkable progress has been made by the existing federated lea...
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03/29/2022
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation
In this paper, we focus on the unsupervised Video Object Segmentation (V...
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02/07/2022
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
In this work, we pursue a unified paradigm for multimodal pretraining to...
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02/06/2022
Learning to be a Statistician: Learned Estimator for Number of Distinct Values
Estimating the number of distinct values (NDV) in a column is useful for...
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11/11/2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey
Influenced by the great success of deep learning via cloud computing and...
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10/08/2021
