b'Lei Li'

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...

0 Peiyi Wang, et al. ∙

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...

0 Wenhao Zhu, et al. ∙

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...

0 Marcel Beetz, et al. ∙

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 ...

0 Lei Li, et al. ∙

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)...

0 Zhongyu Jiang, et al. ∙

research

∙ 06/30/2023

Provable Robust Watermarking for AI-Generated Text

As AI-generated text increasingly resembles human-written content, the a...

0 Xuandong Zhao, et al. ∙

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...

0 Lei Li, et al. ∙

research

∙ 06/02/2023

Generative Autoencoders as Watermark Attackers: Analyses of Vulnerabilities and Threats

Invisible watermarks safeguard images' copyrights by embedding hidden me...

0 Xuandong Zhao, et al. ∙

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...

0 Qian Guo, et al. ∙

research

∙ 05/29/2023

Large Language Models are not Fair Evaluators

We uncover a systematic bias in the evaluation paradigm of adopting larg...

0 Peiyi Wang, et al. ∙

research

∙ 05/28/2023

Neural Machine Translation with Dynamic Graph Convolutional Decoder

Existing wisdom demonstrates the significance of syntactic knowledge for...

0 Lei Li, et al. ∙

research

∙ 05/26/2023

Incentive Mechanism for Uncertain Tasks under Differential Privacy

Mobile crowd sensing (MCS) has emerged as an increasingly popular sensin...

0 Xikun Jiang, et al. ∙

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...

0 Siqi Ouyang, et al. ∙

research

∙ 05/24/2023

ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories

Recently, Pretrained Language Models (PLMs) have been serving as general...

0 Heming Xia, et al. ∙

research

∙ 05/24/2023

ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers

Large language models (LLMs) excel at implementing code from functionali...

0 Kexun Zhang, et al. ∙

research

∙ 05/23/2023

INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback

The field of automatic evaluation of text generation made tremendous pro...

0 Wenda Xu, et al. ∙

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

∙ 05/23/2023

Can Language Models Understand Physical Concepts?

Language models (LMs) gradually become general-purpose interfaces in the...

0 Lei Li, et al. ∙

research

∙ 05/22/2023

Extrapolating Multilingual Understanding Models as Multilingual Generators

Multilingual understanding models (or encoder-based), pre-trained via ma...

0 Bohong Wu, et al. ∙

research

∙ 05/22/2023

Can We Edit Factual Knowledge by In-Context Learning?

Previous studies have shown that large language models (LLMs) like GPTs ...

0 Ce Zheng, et al. ∙

research

∙ 05/21/2023

Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter

Federated Multilingual Neural Machine Translation (Fed-MNMT) has emerged...

2 YI LIU, et al. ∙

research

∙ 05/17/2023

Statistical Knowledge Assessment for Generative Language Models

Generative Language Models (GLMs) have demonstrated capabilities to stor...

0 Qingxiu Dong, et al. ∙

research

∙ 05/07/2023

HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction

Entity relation extraction consists of two sub-tasks: entity recognition...

0 Yijun Wang, et al. ∙

research

∙ 04/30/2023

Importance Weighted Expectation-Maximization for Protein Sequence Design

Designing protein sequences with desired biological function is crucial ...

0 Zhenqiao Song, et al. ∙

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...

0 Yuanyuan Feng, et al. ∙

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...

0 Wenhao Zhu, et al. ∙

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...

0 Lei Li, et al. ∙

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...

0 Zhe Xiong, et al. ∙

research

∙ 03/27/2023

Generalizable Local Feature Pre-training for Deformable Shape Analysis

Transfer learning is fundamental for addressing problems in settings wit...

0 Souhaib Attaiki, et al. ∙

research

∙ 02/07/2023

Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation

Myocardial pathology segmentation (MyoPS) is critical for the risk strat...

0 Wangbin Ding, et al. ∙

research

∙ 02/06/2023

Protecting Language Generation Models via Invisible Watermarking

Language generation models have been an increasingly powerful enabler fo...

0 Xuandong Zhao, et al. ∙

research

∙ 02/05/2023

ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval

Diffusion models show promising generation capability for a variety of d...

0 Kexun Zhang, et al. ∙

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 ...

0 Lei Li, et al. ∙

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...

0 Xiang Chen, et al. ∙

research

∙ 01/17/2023

Geometric ergodicity of SGLD via reflection coupling

We consider the geometric ergodicity of the Stochastic Gradient Langevin...

0 Lei Li, et al. ∙

research

∙ 01/15/2023

BuildSeg: A General Framework for the Segmentation of Buildings

Building segmentation from aerial images and 3D laser scanning (LiDAR) i...

0 Lei Li, et al. ∙

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...

0 Sihan Wang, et al. ∙

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), ...

0 Kaiwen Wan, et al. ∙

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 ...

0 Huanyu Bian, et al. ∙

research

∙ 12/31/2022

A Survey for In-context Learning

With the increasing ability of large language models (LLMs), in-context ...

0 Qingxiu Dong, et al. ∙

research

∙ 12/20/2022

Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation

Traditional multilingual neural machine translation (MNMT) uses a single...

0 Fei Yuan, et al. ∙

research

∙ 12/20/2022

Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models

With increasing scale, large language models demonstrate both quantitati...

0 Jingjing Xu, et al. ∙

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...

0 Siqi Ouyang, et al. ∙

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...

0 Wenda Xu, et al. ∙

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...

0 Lei Li, et al. ∙

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...

0 Tianfang Zhang, et al. ∙

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...

0 Xuandong Zhao, et al. ∙

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...

0 Danqing Wang, et al. ∙

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 ...

0 Jiangjie Chen, et al. ∙

research

∙ 11/14/2022

On Analyzing the Role of Image for Visual-enhanced Relation Extraction

Multimodal relation extraction is an essential task for knowledge graph ...

0 Lei Li, et al. ∙

Lei Li

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