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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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08/28/2023
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Although large language models (LLMs) demonstrate impressive performance...
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08/07/2023
AgentBench: Evaluating LLMs as Agents
Large Language Models (LLMs) are becoming increasingly smart and autonom...
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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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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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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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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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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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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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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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12/08/2021
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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10/25/2021
NetMF+: Network Embedding Based on Fast and Effective Single-Pass Randomized Matrix Factorization
In this work, we propose NetMF+, a fast, memory-efficient, scalable, and...
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10/14/2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Prompt tuning, which only tunes continuous prompts with a frozen languag...
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05/26/2021
CogView: Mastering Text-to-Image Generation via Transformers
Text-to-Image generation in the general domain has long been an open pro...
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03/24/2021
FastMoE: A Fast Mixture-of-Expert Training System
Mixture-of-Expert (MoE) presents a strong potential in enlarging the siz...
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03/18/2021
All NLP Tasks Are Generation Tasks: A General Pretraining Framework
There have been various types of pretraining architectures including aut...
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03/01/2021
CogDL: An Extensive Toolkit for Deep Learning on Graphs
Graph representation learning aims to learn low-dimensional node embeddi...
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05/20/2020
Understanding Negative Sampling in Graph Representation Learning
Graph representation learning has been extensively studied in recent yea...
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12/13/2019
Dota 2 with Large Scale Deep Reinforcement Learning
On April 13th, 2019, OpenAI Five became the first AI system to defeat th...
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11/23/2019
Simple and Lightweight Human Pose Estimation
Recent research on human pose estimation has achieved significant improv...
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11/07/2019
Blockwise Self-Attention for Long Document Understanding
We present BlockBERT, a lightweight and efficient BERT model that is des...
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02/04/2017
Embedded Systems Architecture for SLAM Applications
In recent years, we have observed a clear trend in the rapid rise of aut...
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06/05/2016
