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09/13/2023
SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions
With the rapid development of Large Language Models (LLMs), increasing a...
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09/06/2023
GPT Can Solve Mathematical Problems Without a Calculator
Previous studies have typically assumed that large language models are u...
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09/04/2023
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
Diffusion models achieved great success in image synthesis, but still fa...
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08/28/2023
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Although large language models (LLMs) demonstrate impressive performance...
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08/09/2023
Robust Object Modeling for Visual Tracking
Object modeling has become a core part of recent tracking frameworks. Cu...
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08/07/2023
AgentBench: Evaluating LLMs as Agents
Large Language Models (LLMs) are becoming increasingly smart and autonom...
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07/31/2023
Lightweight Super-Resolution Head for Human Pose Estimation
Heatmap-based methods have become the mainstream method for pose estimat...
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06/27/2023
MAE-GEBD:Winning the CVPR'2023 LOVEU-GEBD Challenge
The Generic Event Boundary Detection (GEBD) task aims to build a model f...
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06/15/2023
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
The unprecedented performance of large language models (LLMs) necessitat...
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06/13/2023
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences
We present WebGLM, a web-enhanced question-answering system based on the...
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06/11/2023
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model
Currently, the reduction in the parameter scale of large-scale pre-train...
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06/11/2023
Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method
The large scale of pre-trained language models poses a challenge for the...
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06/06/2023
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs
In-Batch contrastive learning is a state-of-the-art self-supervised meth...
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05/31/2023
Confidential Signal Cancellation Phenomenon in Interference Alignment Networks: Cause and Cure
This paper investigates physical layer security (PLS) in wireless interf...
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05/28/2023
Optimizing Airbnb Search Journey with Multi-task Learning
At Airbnb, an online marketplace for stays and experiences, guests often...
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05/24/2023
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration
We identify two crucial limitations in the evaluation of recent parallel...
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04/26/2023
Video Frame Interpolation with Densely Queried Bilateral Correlation
Video Frame Interpolation (VFI) aims to synthesize non-existent intermed...
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04/12/2023
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
We present ImageReward – the first general-purpose text-to-image human p...
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04/10/2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
Graph self-supervised learning (SSL), including contrastive and generati...
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04/05/2023
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs
Student modeling, the task of inferring a student's learning characteris...
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03/26/2023
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation
Despite the recent emergence of video captioning models, how to generate...
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01/31/2023
Scaling laws for single-agent reinforcement learning
Recent work has shown that, in generative modeling, cross-entropy loss i...
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11/30/2022
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution
Image super-resolution (SR) serves as a fundamental tool for the process...
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11/21/2022
AICOM-MP: an AI-based Monkeypox Detector for Resource-Constrained Environments
Under the Autonomous Mobile Clinics (AMCs) initiative, we are developing...
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10/30/2022
Parameter-Efficient Tuning Makes a Good Classification Head
In recent years, pretrained models revolutionized the paradigm of natura...
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10/05/2022
GLM-130B: An Open Bilingual Pre-trained Model
We introduce GLM-130B, a bilingual (English and Chinese) pre-trained lan...
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08/16/2022
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries
Knowledge graph (KG) embeddings have been a mainstream approach for reas...
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07/18/2022
Towards a General Pre-training Framework for Adaptive Learning in MOOCs
Adaptive learning aims to stimulate and meet the needs of individual lea...
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07/14/2022
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers
Prompt tuning attempts to update few task-specific parameters in pre-tra...
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06/23/2022
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
Pretraining on noisy, internet-scale datasets has been heavily studied a...
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06/22/2022
GACT: Activation Compressed Training for General Architectures
Training large neural network (NN) models requires extensive memory reso...
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06/17/2022
Masked Autoencoders for Generic Event Boundary Detection CVPR'2022 Kinetics-GEBD Challenge
Generic Event Boundary Detection (GEBD) tasks aim at detecting generic, ...
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05/29/2022
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Large-scale pretrained transformers have created milestones in text (GPT...
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05/28/2022
Rethinking the Setting of Semi-supervised Learning on Graphs
We argue that the present setting of semisupervised learning on graphs m...
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05/22/2022
GraphMAE: Self-Supervised Masked Graph Autoencoders
Self-supervised learning (SSL) has been extensively explored in recent y...
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05/21/2022
DeepStruct: Pretraining of Language Models for Structure Prediction
We introduce a method for improving the structural understanding abiliti...
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04/28/2022
CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
The development of the transformer-based text-to-image models are impede...
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04/18/2022
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution
Runtime and memory consumption are two important aspects for efficient i...
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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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03/17/2022
EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training
Large-scale pre-training has shown remarkable performance in building op...
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03/12/2022
GRAND+: Scalable Graph Random Neural Networks
Graph neural networks (GNNs) have been widely adopted for semi-supervise...
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03/08/2022
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks
Massive open online courses (MOOCs), which provide a large-scale interac...
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03/02/2022
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs
Entity alignment, aiming to identify equivalent entities across differen...
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01/14/2022
Training Free Graph Neural Networks for Graph Matching
We present TFGM (Training Free Graph Matching), a framework to boost the...
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12/30/2021
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks
Heterogeneous graph neural networks (HGNNs) have been blossoming in rece...
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12/08/2021
Improving the Training of Graph Neural Networks with Consistency Regularization
Graph neural networks (GNNs) have achieved notable success in the semi-s...
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11/27/2021
AdaDM: Enabling Normalization for Image Super-Resolution
Normalization like Batch Normalization (BN) is a milestone technique to ...
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11/21/2021
Network representation learning: A macro and micro view
Graph is a universe data structure that is widely used to organize data ...
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11/08/2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Adversarial attacks on graphs have posed a major threat to the robustnes...
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10/25/2021
