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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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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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07/14/2023
Defect Classification in Additive Manufacturing Using CNN-Based Vision Processing
The development of computer vision and in-situ monitoring using visual s...
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05/20/2023
Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models
Multi-task learning (MTL) creates a single machine learning model called...
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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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04/09/2023
Extractive Summarization via ChatGPT for Faithful Summary Generation
Extractive summarization is a crucial task in natural language processin...
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12/15/2022
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers
Dense retrieval aims to map queries and passages into low-dimensional ve...
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11/29/2022
ClueWeb22: 10 Billion Web Documents with Visual and Semantic Information
ClueWeb22, the newest iteration of the ClueWeb line of datasets, provide...
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11/23/2022
Reason from Context with Self-supervised Learning
A tiny object in the sky cannot be an elephant. Context reasoning is cri...
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10/12/2022
Diffusion Models for Causal Discovery via Topological Ordering
Discovering causal relations from observational data becomes possible wi...
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10/10/2022
Learning Credit Assignment for Cooperative Reinforcement Learning
Cooperative multi-agent policy gradient (MAPG) algorithms have recently ...
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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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04/04/2022
MGRR-Net: Multi-level Graph Relational Reasoning Network for Facial Action Units Detection
The Facial Action Coding System (FACS) encodes the action units (AUs) in...
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11/25/2021
MegLoc: A Robust and Accurate Visual Localization Pipeline
In this paper, we present a visual localization pipeline, namely MegLoc,...
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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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08/26/2021
A Tutorial on Learning Disentangled Representations in the Imaging Domain
Disentangled representation learning has been proposed as an approach to...
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08/10/2021
Method Towards CVPR 2021 Image Matching Challenge
This report describes Megvii-3D team's approach towards CVPR 2021 Image ...
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07/23/2021
Rethinking Hard-Parameter Sharing in Multi-Task Learning
Hard parameter sharing in multi-task learning (MTL) allows tasks to shar...
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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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01/22/2019
