research
∙
09/05/2023
Making Large Language Models Better Reasoners with Alignment
Reasoning is a cognitive process of using evidence to reach a sound conc...
share
research
∙
08/09/2023
Extrapolating Large Language Models to Non-English by Aligning Languages
Due to the unbalanced training data distribution, the language ability o...
research
∙
07/14/2023
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks
Myocardial infarction (MI) is one of the most prevalent cardiovascular d...
research
∙
07/10/2023
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
Myocardial infarction (MI) demands precise and swift diagnosis. Cardiac ...
research
∙
07/07/2023
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation
Learning-based methods have dominated the 3D human pose estimation (HPE)...
research
∙
06/30/2023
Provable Robust Watermarking for AI-Generated Text
As AI-generated text increasingly resembles human-written content, the a...
research
∙
06/07/2023
M^3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning
Instruction tuning has significantly advanced large language models (LLM...
research
∙
06/02/2023
Generative Autoencoders as Watermark Attackers: Analyses of Vulnerabilities and Threats
Invisible watermarks safeguard images' copyrights by embedding hidden me...
research
∙
05/29/2023
Convergence analysis of an explicit method and its random batch approximation for the McKean-Vlasov equations with non-globally Lipschitz conditions
In this paper, we present a numerical approach to solve the McKean-Vlaso...
research
∙
05/29/2023
Large Language Models are not Fair Evaluators
We uncover a systematic bias in the evaluation paradigm of adopting larg...
research
∙
05/28/2023
Neural Machine Translation with Dynamic Graph Convolutional Decoder
Existing wisdom demonstrates the significance of syntactic knowledge for...
research
∙
05/26/2023
Incentive Mechanism for Uncertain Tasks under Differential Privacy
Mobile crowd sensing (MCS) has emerged as an increasingly popular sensin...
research
∙
05/24/2023
Prompt Optimization of Large Language Model for Interactive Tasks without Gradient and Demonstrations
Large language models (LLMs) have demonstrated remarkable language profi...
research
∙
05/24/2023
ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories
Recently, Pretrained Language Models (PLMs) have been serving as general...
research
∙
05/24/2023
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers
Large language models (LLMs) excel at implementing code from functionali...
research
∙
05/23/2023
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback
The field of automatic evaluation of text generation made tremendous pro...
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...
research
∙
05/23/2023
Can Language Models Understand Physical Concepts?
Language models (LMs) gradually become general-purpose interfaces in the...
research
∙
05/22/2023
Extrapolating Multilingual Understanding Models as Multilingual Generators
Multilingual understanding models (or encoder-based), pre-trained via ma...
research
∙
05/22/2023
Can We Edit Factual Knowledge by In-Context Learning?
Previous studies have shown that large language models (LLMs) like GPTs ...
research
∙
05/21/2023
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter
Federated Multilingual Neural Machine Translation (Fed-MNMT) has emerged...
research
∙
05/17/2023
Statistical Knowledge Assessment for Generative Language Models
Generative Language Models (GLMs) have demonstrated capabilities to stor...
research
∙
05/07/2023
HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction
Entity relation extraction consists of two sub-tasks: entity recognition...
research
∙
04/30/2023
Importance Weighted Expectation-Maximization for Protein Sequence Design
Designing protein sequences with desired biological function is crucial ...
research
∙
04/13/2023
A class of monotonicity-preserving variable-step discretizations for Volterra integral equations and time fractional ordinary differential equations
The time continuous Volterra equations valued in ℝ with completely posit...
research
∙
04/10/2023
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
Large language models (LLMs) have demonstrated remarkable potential in h...
research
∙
04/04/2023
Influence of Myocardial Infarction on QRS Properties: A Simulation Study
The interplay between structural and electrical changes in the heart aft...
research
∙
03/30/2023
On the convergence of continuous and discrete unbalanced optimal transport models
We consider a Beckmann formulation of an unbalanced optimal transport (U...
research
∙
03/27/2023
Generalizable Local Feature Pre-training for Deformable Shape Analysis
Transfer learning is fundamental for addressing problems in settings wit...
research
∙
02/07/2023
Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation
Myocardial pathology segmentation (MyoPS) is critical for the risk strat...
research
∙
02/06/2023
Protecting Language Generation Models via Invisible Watermarking
Language generation models have been an increasingly powerful enabler fo...
research
∙
02/05/2023
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
Diffusion models show promising generation capability for a variety of d...
research
∙
01/31/2023
Design and Implementation of A Soccer Ball Detection System with Multiple Cameras
The detection of small and medium-sized objects in three dimensions has ...
research
∙
01/25/2023
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER
Cross-domain NER is a challenging task to address the low-resource probl...
research
∙
01/17/2023
Geometric ergodicity of SGLD via reflection coupling
We consider the geometric ergodicity of the Stochastic Gradient Langevin...
research
∙
01/15/2023
BuildSeg: A General Framework for the Segmentation of Buildings
Building segmentation from aerial images and 3D laser scanning (LiDAR) i...
research
∙
01/15/2023
Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels
Cardiac segmentation is in great demand for clinical practice. Due to th...
research
∙
01/13/2023
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior
Medical images are generally acquired with limited field-of-view (FOV), ...
research
∙
01/09/2023
VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum
With the rapid development of classical and quantum machine learning, a ...
research
∙
12/31/2022
A Survey for In-context Learning
With the increasing ability of large language models (LLMs), in-context ...
research
∙
12/20/2022
Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation
Traditional multilingual neural machine translation (MNMT) uses a single...
research
∙
12/20/2022
Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models
With increasing scale, large language models demonstrate both quantitati...
research
∙
12/19/2022
WACO: Word-Aligned Contrastive Learning for Speech Translation
End-to-end Speech Translation (E2E ST) aims to translate source speech i...
research
∙
12/19/2022
SEScore2: Retrieval Augmented Pretraining for Text Generation Evaluation
Is it possible to leverage large scale raw and raw parallel corpora to b...
research
∙
12/18/2022
Mask-FPAN: Semi-Supervised Face Parsing in the Wild With De-Occlusion and UV GAN
Fine-grained semantic segmentation of a person's face and head, includin...
research
∙
12/18/2022
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing
Deep unfolding networks (DUNs) have proven to be a viable approach to co...
research
∙
12/14/2022
Pre-trained Language Models can be Fully Zero-Shot Learners
How can we extend a pre-trained model to many language understanding tas...
research
∙
11/28/2022
Accelerating Antimicrobial Peptide Discovery with Latent Sequence-Structure Model
Antimicrobial peptide (AMP) is a promising therapy in the treatment of b...
research
∙
11/22/2022
Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
Given a possibly false claim sentence, how can we automatically correct ...
research
∙
11/14/2022