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09/08/2023
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese
Large Language Models (LLMs) have demonstrated remarkable success in div...
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09/08/2023
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification
Prompt-based classification adapts tasks to a cloze question format util...
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09/07/2023
Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation
With strong representation capabilities, pretrained vision-language mode...
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09/02/2023
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency
The task of shape abstraction with semantic part consistency is challeng...
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08/26/2023
Class Binarization to NeuroEvolution for Multiclass Classification
Multiclass classification is a fundamental and challenging task in machi...
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08/24/2023
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
Creating layouts is a fundamental step in graphic design. In this work, ...
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08/22/2023
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition
We are concerned with a challenging scenario in unpaired multiview video...
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08/15/2023
Through the Lens of Core Competency: Survey on Evaluation of Large Language Models
From pre-trained language model (PLM) to large language model (LLM), the...
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08/10/2023
HGDNet: A Height-Hierarchy Guided Dual-Decoder Network for Single View Building Extraction and Height Estimation
Unifying the correlative single-view satellite image building extraction...
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08/10/2023
Fine-grained building roof instance segmentation based on domain adapted pretraining and composite dual-backbone
The diversity of building architecture styles of global cities situated ...
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07/17/2023
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation
Transformer and its variants have been widely used for medical image seg...
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07/06/2023
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language
Decoding text stimuli from cognitive signals (e.g. fMRI) enhances our un...
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06/09/2023
I run as fast as a rabbit, can you? A Multilingual Simile Dialogue Dataset
A simile is a figure of speech that compares two different things (calle...
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05/19/2023
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate
Large Language Models (LLMs) have demonstrated human-like intelligence a...
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05/12/2023
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation
Causal reasoning ability is crucial for numerous NLP applications. Despi...
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05/09/2023
CSED: A Chinese Semantic Error Diagnosis Corpus
Recently, much Chinese text error correction work has focused on Chinese...
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04/25/2023
Learning Robust Deep Equilibrium Models
Deep equilibrium (DEQ) models have emerged as a promising class of impli...
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04/19/2023
Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification
Generalizable person re-identification (Re-ID) is a very hot research to...
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04/14/2023
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge
Large Language Models (LLMs), such as the LLaMA model, have demonstrated...
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04/10/2023
Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection
Single-frame infrared small target (SIRST) detection aims at separating ...
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03/16/2023
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning
Prototype, as a representation of class embeddings, has been explored to...
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02/27/2023
Do as You Say: Consistency Detection of Data Practice in Program Code and Privacy Policy in Mini-App
Mini-app is an emerging form of mobile application that combines web tec...
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02/16/2023
CluCDD:Contrastive Dialogue Disentanglement via Clustering
A huge number of multi-participant dialogues happen online every day, wh...
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01/25/2023
BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing
Deep neural networks (DNNs) and natural language processing (NLP) system...
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11/20/2022
Learning to Generate Image Embeddings with User-level Differential Privacy
Small on-device models have been successfully trained with user-level di...
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11/10/2022
LERT: A Linguistically-motivated Pre-trained Language Model
Pre-trained Language Model (PLM) has become a representative foundation ...
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11/09/2022
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
Recent research in clustering face embeddings has found that unsupervise...
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11/03/2022
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation
Recently, some pioneering works have preferred applying more complex mod...
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11/02/2022
Deep Multimodal Fusion for Generalizable Person Re-identification
Person re-identification plays a significant role in realistic scenarios...
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10/27/2022
Comparing One with Many – Solving Binary2source Function Matching Under Function Inlining
Binary2source function matching is a fundamental task for many security ...
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10/25/2022
MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation
Recently, Visual Transformer (ViT) has been widely used in various field...
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09/28/2022
MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection
Space-based infrared tiny ship detection aims at separating tiny ships f...
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09/14/2022
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words
Prompt-based fine-tuning for pre-trained models has proven effective for...
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08/17/2022
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation
This paper introduces a novel Self-supervised Fine-grained Dialogue Eval...
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08/14/2022
Text Difficulty Study: Do machines behave the same as humans regarding text difficulty?
Given a task, human learns from easy to hard, whereas the model learns r...
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05/22/2022
A Graph Enhanced BERT Model for Event Prediction
Predicting the subsequent event for an existing event context is an impo...
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05/16/2022
Explanation-Guided Fairness Testing through Genetic Algorithm
The fairness characteristic is a critical attribute of trusted AI system...
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05/12/2022
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning
Understanding causality has vital importance for various Natural Languag...
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04/15/2022
Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition
Existing Chinese text error detection mainly focuses on spelling and sim...
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03/15/2022
Surrogate Gap Minimization Improves Sharpness-Aware Training
The recently proposed Sharpness-Aware Minimization (SAM) improves genera...
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03/14/2022
CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment
CLIP has shown a remarkable zero-shot capability on a wide range of visi...
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03/14/2022
PERT: Pre-training BERT with Permuted Language Model
Pre-trained Language Models (PLMs) have been widely used in various natu...
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01/20/2022
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training
Language-based environment manipulation requires agents to manipulate th...
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01/19/2022
Hiding Data in Colors: Secure and Lossless Deep Image Steganography via Conditional Invertible Neural Networks
Deep image steganography is a data hiding technology that conceal data i...
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01/14/2022
A Semantic Web Technology Index
Semantic Web (SW) technology has been widely applied to many domains suc...
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12/24/2021
One-to-One or One-to-many? What function inlining brings to binary2source similarity analysis
Binary2source code matching is critical to many code-reuse-related tasks...
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12/11/2021
COMPOSER: Compositional Learning of Group Activity in Videos
Group Activity Recognition (GAR) detects the activity performed by a gro...
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10/13/2021
One to Multiple Mapping Dual Learning: Learning Multiple Sources from One Mixed Signal
Single channel blind source separation (SCBSS) refers to separate multip...
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10/11/2021
VTBR: Semantic-based Pretraining for Person Re-Identification
Pretraining is a dominant paradigm in computer vision. Generally, superv...
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09/22/2021