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09/21/2023
TCOVIS: Temporally Consistent Online Video Instance Segmentation
In recent years, significant progress has been made in video instance se...
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09/12/2023
GA-Sketching: Shape Modeling from Multi-View Sketching with Geometry-Aligned Deep Implicit Functions
Sketch-based shape modeling aims to bridge the gap between 2D drawing an...
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09/09/2023
Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering
Multi-modal keyphrase generation aims to produce a set of keyphrases tha...
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09/08/2023
AMLP:Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation
Self-supervised masked image modeling has shown promising results on nat...
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09/07/2023
On Large Language Models' Selection Bias in Multi-Choice Questions
Multi-choice questions (MCQs) serve as a common yet important task forma...
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08/31/2023
PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction
Semantic segmentation in autonomous driving has been undergoing an evolu...
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08/24/2023
Improving Translation Faithfulness of Large Language Models via Augmenting Instructions
Large Language Models (LLMs) present strong general capabilities, and a ...
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08/23/2023
Instruction Position Matters in Sequence Generation with Large Language Models
Large language models (LLMs) are capable of performing conditional seque...
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08/21/2023
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents
Autonomous agents empowered by Large Language Models (LLMs) have undergo...
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08/17/2023
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Catastrophic forgetting (CF) is a phenomenon that occurs in machine lear...
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08/06/2023
Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation
N-gram matching-based evaluation metrics, such as BLEU and chrF, are wid...
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08/05/2023
EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
EduChat (https://www.educhat.top/) is a large-scale language model (LLM)...
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08/01/2023
Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes
3D human pose estimation in outdoor environments has garnered increasing...
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07/31/2023
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Despite the advancements of open-source large language models (LLMs) and...
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07/29/2023
Towards Codable Text Watermarking for Large Language Models
As large language models (LLMs) generate texts with increasing fluency a...
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07/27/2023
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
With the overwhelming trend of mask image modeling led by MAE, generativ...
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07/10/2023
TIM: Teaching Large Language Models to Translate with Comparison
Open-sourced large language models (LLMs) have demonstrated remarkable e...
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07/01/2023
Partial Linear Cox Model with Deep ReLU Networks for Interval-Censored Failure Time Data
The partial linear Cox model for interval-censoring is well-studied unde...
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06/13/2023
Soft Language Clustering for Multilingual Model Pre-training
Multilingual pre-trained language models have demonstrated impressive (z...
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05/30/2023
Towards Accurate Data-free Quantization for Diffusion Models
In this paper, we propose an accurate data-free post-training quantizati...
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05/28/2023
Emergent Modularity in Pre-trained Transformers
This work examines the presence of modularity in pre-trained Transformer...
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05/28/2023
Plug-and-Play Knowledge Injection for Pre-trained Language Models
Injecting external knowledge can improve the performance of pre-trained ...
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05/28/2023
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning
Parameter-efficient tuning methods (PETs) have achieved promising result...
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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...
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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...
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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...
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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...
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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...
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05/20/2023
GFDC: A Granule Fusion Density-Based Clustering with Evidential Reasoning
Currently, density-based clustering algorithms are widely applied becaus...
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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...
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05/17/2023
Personality Understanding of Fictional Characters during Book Reading
Comprehending characters' personalities is a crucial aspect of story rea...
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05/16/2023
Towards Unifying Multi-Lingual and Cross-Lingual Summarization
To adapt text summarization to the multilingual world, previous work pro...
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05/15/2023
Recyclable Tuning for Continual Pre-training
Continual pre-training is the paradigm where pre-trained language models...
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05/13/2023
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training
Multilingual vision-language (V L) pre-training has achieved remarkabl...
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05/11/2023
WebCPM: Interactive Web Search for Chinese Long-form Question Answering
Long-form question answering (LFQA) aims at answering complex, open-ende...
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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 ...
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05/10/2023
Investigating Forgetting in Pre-Trained Representations Through Continual Learning
Representation forgetting refers to the drift of contextualized represen...
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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...
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05/06/2023
Attacking Pre-trained Recommendation
Recently, a series of pioneer studies have shown the potency of pre-trai...
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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 ...
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05/04/2023
BranchNorm: Robustly Scaling Extremely Deep Transformers
Recently, DeepNorm scales Transformers into extremely deep (i.e., 1000 l...
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05/04/2023
Unified Model Learning for Various Neural Machine Translation
Existing neural machine translation (NMT) studies mainly focus on develo...
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04/13/2023
Learning Accurate Performance Predictors for Ultrafast Automated Model Compression
In this paper, we propose an ultrafast automated model compression frame...
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04/11/2023
Triple Sequence Learning for Cross-domain Recommendation
Cross-domain recommendation (CDR) aims to leverage the users' behaviors ...
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03/27/2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis
In this paper, we propose binary sparse convolutional networks called BS...
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03/23/2023
Efficient Meshy Neural Fields for Animatable Human Avatars
Efficiently digitizing high-fidelity animatable human avatars from video...
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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...
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03/16/2023
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving
3D scene understanding plays a vital role in vision-based autonomous dri...
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03/14/2023
Precise Facial Landmark Detection by Reference Heatmap Transformer
Most facial landmark detection methods predict landmarks by mapping the ...
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03/07/2023
