b'Jie Zhou'

research

∙ 05/23/2023

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

In-context learning (ICL) emerges as a promising capability of large lan...

0 Lean Wang, et al. ∙

research

∙ 05/22/2023

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model

Pretrained language models have achieved remarkable success in various n...

0 Xiao Wang, et al. ∙

research

∙ 05/22/2023

D^2TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization

Many-to-many multimodal summarization (M^3S) task aims to generate summa...

0 Yunlong Liang, et al. ∙

research

∙ 05/21/2023

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition

Existing models for named entity recognition (NER) are mainly based on l...

0 Limao Xiong, et al. ∙

research

∙ 05/20/2023

Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion

Task-incremental continual learning refers to continually training a mod...

0 Yun Luo, et al. ∙

research

∙ 05/20/2023

GFDC: A Granule Fusion Density-Based Clustering with Evidential Reasoning

Currently, density-based clustering algorithms are widely applied becaus...

0 Mingjie Cai, et al. ∙

research

∙ 05/18/2023

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks

Large language models (LLMs) have notably accelerated progress towards a...

0 Wenhai Wang, et al. ∙

research

∙ 05/17/2023

Personality Understanding of Fictional Characters during Book Reading

Comprehending characters' personalities is a crucial aspect of story rea...

0 Mo Yu, et al. ∙

research

∙ 05/16/2023

Towards Unifying Multi-Lingual and Cross-Lingual Summarization

To adapt text summarization to the multilingual world, previous work pro...

0 Jiaan Wang, et al. ∙

research

∙ 05/15/2023

Recyclable Tuning for Continual Pre-training

Continual pre-training is the paradigm where pre-trained language models...

0 Yujia Qin, et al. ∙

research

∙ 05/13/2023

RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training

Multilingual vision-language (V L) pre-training has achieved remarkabl...

0 Chulun Zhou, et al. ∙

research

∙ 05/11/2023

WebCPM: Interactive Web Search for Chinese Long-form Question Answering

Long-form question answering (LFQA) aims at answering complex, open-ende...

0 Yujia Qin, et al. ∙

research

∙ 05/11/2023

WeLayout: WeChat Layout Analysis System for the ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents

In this paper, we introduce WeLayout, a novel system for segmenting the ...

0 Mingliang Zhang, et al. ∙

research

∙ 05/10/2023

Investigating Forgetting in Pre-Trained Representations Through Continual Learning

Representation forgetting refers to the drift of contextualized represen...

0 Yun Luo, et al. ∙

research

∙ 05/08/2023

Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias

Pre-trained Language Models (PLMs) may be poisonous with backdoors or bi...

0 Zhiyuan Zhang, et al. ∙

research

∙ 05/06/2023

Attacking Pre-trained Recommendation

Recently, a series of pioneer studies have shown the potency of pre-trai...

0 Yiqing Wu, et al. ∙

research

∙ 05/05/2023

DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection

In this paper, we propose a new detection framework for 3D small object ...

0 Xiuwei Xu, et al. ∙

research

∙ 05/04/2023

BranchNorm: Robustly Scaling Extremely Deep Transformers

Recently, DeepNorm scales Transformers into extremely deep (i.e., 1000 l...

0 Yijin Liu, et al. ∙

research

∙ 05/04/2023

Unified Model Learning for Various Neural Machine Translation

Existing neural machine translation (NMT) studies mainly focus on develo...

2 Yunlong Liang, et al. ∙

research

∙ 04/13/2023

Learning Accurate Performance Predictors for Ultrafast Automated Model Compression

In this paper, we propose an ultrafast automated model compression frame...

0 Ziwei Wang, et al. ∙

research

∙ 04/11/2023

Triple Sequence Learning for Cross-domain Recommendation

Cross-domain recommendation (CDR) aims to leverage the users' behaviors ...

0 Haokai Ma, et al. ∙

research

∙ 03/27/2023

Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis

In this paper, we propose binary sparse convolutional networks called BS...

0 Xiuwei Xu, et al. ∙

research

∙ 03/23/2023

Efficient Meshy Neural Fields for Animatable Human Avatars

Efficiently digitizing high-fidelity animatable human avatars from video...

0 Xiaoke Huang, et al. ∙

research

∙ 03/18/2023

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on...

0 Junjie Ye, et al. ∙

research

∙ 03/16/2023

SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving

3D scene understanding plays a vital role in vision-based autonomous dri...

0 Yi Wei, et al. ∙

research

∙ 03/14/2023

Precise Facial Landmark Detection by Reference Heatmap Transformer

Most facial landmark detection methods predict landmarks by mapping the ...

0 Jun Wan, et al. ∙

research

∙ 03/07/2023

Is ChatGPT a Good NLG Evaluator? A Preliminary Study

Recently, the emergence of ChatGPT has attracted wide attention from the...

0 Jiaan Wang, et al. ∙

research

∙ 03/07/2023

A convergence analysis of a structure-preserving gradient flow method for the all-electron Kohn-Sham model

In [Dai et al, Multi. Model. Simul., 2020], a structure-preserving gradi...

0 Yedan Shen, et al. ∙

research

∙ 03/03/2023

Unleashing Text-to-Image Diffusion Models for Visual Perception

Diffusion models (DMs) have become the new trend of generative models an...

0 Wenliang Zhao, et al. ∙

research

∙ 03/01/2023

How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks

The GPT-3.5 models have demonstrated impressive performance in various N...

0 Xuanting Chen, et al. ∙

research

∙ 02/28/2023

Cross-Lingual Summarization via ChatGPT

Given a document in a source language, cross-lingual summarization (CLS)...

0 Jiaan Wang, et al. ∙

research

∙ 02/21/2023

Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations

Gradient-based explanation methods play an important role in the field o...

0 Zhenxiao Cheng, et al. ∙

research

∙ 02/15/2023

Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction

Modern methods for vision-centric autonomous driving perception widely a...

0 Yuanhui Huang, et al. ∙

research

∙ 02/09/2023

UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models

Diffusion probabilistic models (DPMs) have demonstrated a very promising...

0 Wenliang Zhao, et al. ∙

research

∙ 01/27/2023

A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation

Neural chat translation (NCT) aims to translate a cross-lingual chat bet...

0 Chulun Zhou, et al. ∙

research

∙ 01/25/2023

When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning

Federated Learning has become a widely-used framework which allows learn...

0 Wenkai Yang, et al. ∙

research

∙ 01/25/2023

Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning

Federated Learning (FL) has become a popular distributed learning paradi...

0 Wenkai Yang, et al. ∙

research

∙ 01/24/2023

Transformer-Patcher: One Mistake worth One Neuron

Large Transformer-based Pretrained Language Models (PLMs) dominate almos...

0 Zeyu Huang, et al. ∙

research

∙ 01/11/2023

AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers

In this paper, we present a new method that reformulates point cloud com...

0 Xumin Yu, et al. ∙

research

∙ 01/10/2023

DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis

Talking head synthesis is a promising approach for the video production ...

1 Shuai Shen, et al. ∙

research

∙ 12/22/2022

Deep learning for size-agnostic inverse design of random-network 3D printed mechanical metamaterials

Practical applications of mechanical metamaterials often involve solving...

6 Helda Pahlavani, et al. ∙

research

∙ 12/18/2022

Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint

Deep learning has revolutionized human society, yet the black-box nature...

0 Borui Zhang, et al. ∙

research

∙ 12/15/2022

Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization

The goal of multimodal abstractive summarization (MAS) is to produce a c...

0 Yunlong Liang, et al. ∙

research

∙ 12/14/2022

Understanding Translationese in Cross-Lingual Summarization

Given a document in a source language, cross-lingual summarization (CLS)...

0 Jiaan Wang, et al. ∙

research

∙ 12/09/2022

FLAG3D: A 3D Fitness Activity Dataset with Language Instruction

With the continuously thriving popularity around the world, fitness acti...

0 Yansong Tang, et al. ∙

research

∙ 12/08/2022

DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding

Minimum Bayesian Risk Decoding (MBR) emerges as a promising decoding alg...

0 Jianhao Yan, et al. ∙

research

∙ 12/06/2022

Diffusion-SDF: Text-to-Shape via Voxelized Diffusion

With the rising industrial attention to 3D virtual modeling technology, ...

0 Muheng Li, et al. ∙

research

∙ 11/30/2022

Rephrasing the Reference for Non-Autoregressive Machine Translation

Non-autoregressive neural machine translation (NAT) models suffer from t...

0 Chenze Shao, et al. ∙

research

∙ 11/30/2022

Findings of the WMT 2022 Shared Task on Translation Suggestion

We report the result of the first edition of the WMT shared task on Tran...

0 Zhen Yang, et al. ∙

research

∙ 11/29/2022

AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning

Recent studies have shown the impressive efficacy of counterfactually au...

0 Jiaxin Wen, et al. ∙

Jie Zhou

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