80 citations · 281 across the 33 of their papers we have counts for
33 papers
Making Large Language Models Better Reasoners with Alignment
Peiyi Wang, Lei Li, Liang Chen +5
Reasoning is a cognitive process of using evidence to reach a sound conclusion. The reasoning capability is essential for large language models (LLMs) to serve as the brain of the…
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
Lei Li, Julia Camps, Zhinuo +5
Cardiac digital twins (CDTs) have the potential to offer individualized evaluation of cardiac function in a non-invasive manner, making them a promising approach for personalized d…
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit
Xinhang Li, Yiying Yang, Zheng Yuan +6
Multi-vehicle pursuit (MVP) such as autonomous police vehicles pursuing suspects is important but very challenging due to its mission and safety critical nature. While multi-agent…
Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge
Jiangjie Chen, Wei Shi, Ziquan Fu +3
Large language models (LLMs) have been widely studied for their ability to store and utilize positive knowledge. However, negative knowledge, such as "lions don't live in the ocean…
Incentive Mechanism for Uncertain Tasks under Differential Privacy
Xikun Jiang, Chenhao Ying, Lei Li +4
Mobile crowd sensing (MCS) has emerged as an increasingly popular sensing paradigm due to its cost-effectiveness. This approach relies on platforms to outsource tasks to participat…
Influence of Myocardial Infarction on QRS Properties: A Simulation Study
Lei Li, Julia Camps, Zhinuo +4
The interplay between structural and electrical changes in the heart after myocardial infarction (MI) plays a key role in the initiation and maintenance of arrhythmia. The anatomic…
Graceful User Following for Mobile Balance Assistive Robot in Daily Activities Assistance
Yifan Wang, Meng Yuan, Lei Li +3
Numerous diseases and aging can cause degeneration of people's balance ability resulting in limited mobility and even high risks of fall. Robotic technologies can provide more inte…
Planar Hall effect in topological Weyl and nodal line semimetals
Lei Li, Jin Cao, Chaoxi Cui +2
Using symmetry analysis and semiclassical Boltzmann equation, we theoretically explore the planar Hall effect (PHE) in three-dimensional materials. We demonstrate that PHE is a gen…
Revisiting k-NN for Fine-tuning Pre-trained Language Models
Lei Li, Jing Chen, Bozhong Tian +1
Pre-trained Language Models (PLMs), as parametric-based eager learners, have become the de-facto choice for current paradigms of Natural Language Processing (NLP). In contrast, k-N…
On the convergence of continuous and discrete unbalanced optimal transport models
Zhe Xiong, Lei Li, Ya-Nan Zhu +1
We consider a Beckmann formulation of an unbalanced optimal transport (UOT) problem. The -convergence of this formulation of UOT to the corresponding optimal transport (OT) prob…
BuildSeg: A General Framework for the Segmentation of Buildings
Lei Li, Tianfang Zhang, Stefan Oehmcke +2
Building segmentation from aerial images and 3D laser scanning (LiDAR) is a challenging task due to the diversity of backgrounds, building textures, and image quality. While curren…
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER
Xiang Chen, Lei Li, Shuofei Qiao +5
Cross-domain NER is a challenging task to address the low-resource problem in practical scenarios. Previous typical solutions mainly obtain a NER model by pre-trained language mode…
Mask-FPAN: Semi-Supervised Face Parsing in the Wild With De-Occlusion and UV GAN
Lei Li, Tianfang Zhang, Zhongfeng Kang +1
Fine-grained semantic segmentation of a person's face and head, including facial parts and head components, has progressed a great deal in recent years. However, it remains a chall…
On Analyzing the Role of Image for Visual-enhanced Relation Extraction
Lei Li, Xiang Chen, Shuofei Qiao +3
Multimodal relation extraction is an essential task for knowledge graph construction. In this paper, we take an in-depth empirical analysis that indicates the inaccurate informatio…
Topological Bonding and Electronic properties of CdTe semiconductor material with microporous structure
Yixin Li, Wei Xiong, Lei Li +4
CdTe is II-VI semiconductor material with excellent characteristics and has demonstrated promising potential for application in the photovoltaic field. The electronic properties of…
Safety-based Speed Control of a Wheelchair using Robust Adaptive Model Predictive Control
Meng Yuan, Ye Wang, Lei Li +2
Electric-powered wheelchair plays an important role in providing accessibility for people with mobility impairment. Ensuring the safety of wheelchair operation in different applica…
Just ClozE! A Novel Framework for Evaluating the Factual Consistency Faster in Abstractive Summarization
Yiyang Li, Lei Li, Marina Litvak +4
The issue of factual consistency in abstractive summarization has received extensive attention in recent years, and the evaluation of factual consistency between summary and docume…
Multimodal Analogical Reasoning over Knowledge Graphs
Ningyu Zhang, Lei Li, Xiang Chen +3
Analogical reasoning is fundamental to human cognition and holds an important place in various fields. However, previous studies mainly focus on single-modal analogical reasoning a…
On the Impact of Noises in Crowd-Sourced Data for Speech Translation
Siqi Ouyang, Rong Ye, Lei Li
Training speech translation (ST) models requires large and high-quality datasets. MuST-C is one of the most widely used ST benchmark datasets. It contains around 400 hours of speec…
CSI Sensing from Heterogeneous User Feedbacks: A Constrained Phase Retrieval Approach
Lei Li, Xing Zeng, Ya-Feng Liu +2
This paper investigates the downlink channel state information (CSI) sensing in 5G heterogeneous networks composed of user equipments (UEs) with different feedback capabilities. We…
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning
Xiang Chen, Lei Li, Ningyu Zhang +4
Pre-trained language models have contributed significantly to relation extraction by demonstrating remarkable few-shot learning abilities. However, prompt tuning methods for relati…
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing
Chengyu Wang, Minghui Qiu, Chen Shi +7
The success of Pre-Trained Models (PTMs) has reshaped the development of Natural Language Processing (NLP). Yet, it is not easy to obtain high-performing models and deploy them onl…
Self-Supervised Speech Denoising Using Only Noisy Audio Signals
Jiasong Wu, Qingchun Li, Guanyu Yang +3
In traditional speech denoising tasks, clean audio signals are often used as the training target, but absolutely clean signals are collected from expensive recording equipment or i…
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting
Xiang Chen, Lei Li, Shumin Deng +6
Most NER methods rely on extensive labeled data for model training, which struggles in the low-resource scenarios with limited training data. Existing dominant approaches usually s…