no code implementations • Findings (ACL) 2022 • Yifei Li, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany
In this paper, we propose NEAT (Name Extraction Against Trafficking) for extracting person names.
1 code implementation • 29 Apr 2024 • Junhao Cheng, Baiqiao Yin, Kaixin Cai, Minbin Huang, Hanhui Li, Yuxin He, Xi Lu, Yue Li, Yifei Li, Yuhao Cheng, Yiqiang Yan, Xiaodan Liang
To address this issue, we introduce TheaterGen, a training-free framework that integrates large language models (LLMs) and text-to-image (T2I) models to provide the capability of multi-turn image generation.
no code implementations • 26 Feb 2024 • Yifei Li, Xiaohong Liu, Yicong Peng, Guangtao Zhai, Jun Zhou
In this paper, we propose a novel low bandwidth neural compression approach for high-fidelity portrait video conferencing using implicit radiance fields to achieve both major objectives.
1 code implementation • 23 Feb 2024 • Yifei Li, Xiang Yue, Zeyi Liao, Huan Sun
Modern generative search engines enhance the reliability of large language model (LLM) responses by providing cited evidence.
1 code implementation • 14 Dec 2023 • Peiyi Wang, Lei LI, Zhihong Shao, R. X. Xu, Damai Dai, Yifei Li, Deli Chen, Y. Wu, Zhifang Sui
In this paper, we present an innovative process-oriented math process reward model called \textbf{Math-Shepherd}, which assigns a reward score to each step of math problem solutions.
Ranked #14 on Arithmetic Reasoning on GSM8K (using extra training data)
no code implementations • 20 Nov 2023 • Yifei Li, Hsiao-yu Chen, Egor Larionov, Nikolaos Sarafianos, Wojciech Matusik, Tuur Stuyck
By integrating physical simulation into the optimization loop and accounting for the complex nonlinear behavior of cloth and its intricate interaction with the body, our framework recovers body and garment geometry and extracts important material parameters in a physically plausible way.
no code implementations • 19 Nov 2023 • Wenjie Liu, Yifei Li, Jian Sun, Gang Wang, Jie Chen
This paper investigates the problem of data-driven stabilization for linear discrete-time switched systems with unknown switching dynamics.
no code implementations • 15 Nov 2023 • Tianshu Zhang, Xiang Yue, Yifei Li, Huan Sun
Towards that end, we construct TableInstruct, a new dataset with a variety of realistic tables and tasks, for instruction tuning and evaluating LLMs.
no code implementations • 9 Nov 2023 • Yongxin Xiong, Heng Wu, Xiongfei Wang, Yifei Li
Power flow oscillations can occur in power systems after major disturbances such as system faults, which may result in significant power swings and even lead to system collapse.
no code implementations • 23 Oct 2023 • Jintao Xu, Yifei Li, Wenxun Xing
Convergence of the proximal point version is proven based on a Kurdyka-Lojasiewicz (KL) property analysis framework, and we can ensure a locally R-linear or sublinear convergence rate depending on the different ranges of the Kurdyka-Lojasiewicz (KL) exponent, in which a necessary auxiliary function is constructed to realize our goal.
no code implementations • 19 Oct 2023 • Yifei Li, Xin Wang, Jian Sun, Gang Wang, Jie Chen
In the presence of external disturbances, a model-based STC scheme is put forth for $\mathcal{H}_{\infty}$-consensus of MASs, serving as a baseline for the data-driven STC.
1 code implementation • 19 Aug 2023 • Liwen Zhang, Weige Cai, Zhaowei Liu, Zhi Yang, Wei Dai, Yujie Liao, Qianru Qin, Yifei Li, Xingyu Liu, Zhiqiang Liu, Zhoufan Zhu, Anbo Wu, Xin Guo, Yun Chen
Our work offers a more comprehensive financial knowledge evaluation benchmark, utilizing data of mock exams and covering a wide range of evaluated LLMs.
2 code implementations • 2 Aug 2023 • Martin Josifoski, Lars Klein, Maxime Peyrard, Nicolas Baldwin, Yifei Li, Saibo Geng, Julian Paul Schnitzler, Yuxing Yao, Jiheng Wei, Debjit Paul, Robert West
To support rapid and rigorous research, we introduce the aiFlows library embodying Flows.
no code implementations • 25 Jul 2023 • Liane Makatura, Michael Foshey, Bohan Wang, Felix HähnLein, Pingchuan Ma, Bolei Deng, Megan Tjandrasuwita, Andrew Spielberg, Crystal Elaine Owens, Peter Yichen Chen, Allan Zhao, Amy Zhu, Wil J Norton, Edward Gu, Joshua Jacob, Yifei Li, Adriana Schulz, Wojciech Matusik
The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design.
no code implementations • 14 Jul 2023 • Yifei Li, Wenjie Liu, Jian Sun, Gang Wang, Lihua Xie, Jie Chen
This method utilizes measured data and a noise-matrix polytope to ensure near-optimal output synchronization.
1 code implementation • 22 Jun 2023 • Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi
To better break down the problem, we define a systematic framework with three components: prompting strategies for eliciting verbalized confidence, sampling methods for generating multiple responses, and aggregation techniques for computing consistency.
1 code implementation • 7 Mar 2023 • Harrison Jesse Smith, Qingyuan Zheng, Yifei Li, Somya Jain, Jessica K. Hodgins
Children's drawings have a wonderful inventiveness, creativity, and variety to them.
1 code implementation • ICCV 2023 • Shengxi Li, Jialu Zhang, Yifei Li, Mai Xu, Xin Deng, Li Li
The emergence of conditional generative adversarial networks (cGANs) has revolutionised the way we approach and control the generation, by means of adversarially learning joint distributions of data and auxiliary information.
no code implementations • 27 Dec 2022 • Chaoqi Zhen, Yanlei Shang, Xiangyu Liu, Yifei Li, Yong Chen, Dell Zhang
Natural Language Processing (NLP) has been revolutionized by the use of Pre-trained Language Models (PLMs) such as BERT.
no code implementations • 6 Jun 2022 • Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen
Few-shot learning is a challenging task that requires language models to generalize from limited examples.
Ranked #50 on Arithmetic Reasoning on GSM8K
no code implementations • 7 Mar 2022 • Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou
This motivates us to propose input-tuning, which fine-tunes both the continuous prompts and the input representations, leading to a more effective way to adapt unfamiliar inputs to frozen PLMs.
1 code implementation • CVPR 2022 • Lai Jiang, Yifei Li, Shengxi Li, Mai Xu, Se Lei, Yichen Guo, Bo Huang
E-commerce images are playing a central role in attracting people's attention when retailing and shopping online, and an accurate attention prediction is of significant importance for both customers and retailers, where its research is yet to start.
Ranked #2 on Saliency Prediction on SALECI
1 code implementation • 21 Dec 2021 • Yifei Li, Pascal R. Buenzli, Matthew J. Simpson
One way of exploring this question is to study population dynamics using reaction-diffusion equations, where migration is usually represented as a linear diffusion term, and birth-death is represented with a bistable source term.
2 code implementations • CVPR 2022 • Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik
Physical products are often complex assemblies combining a multitude of 3D parts modeled in computer-aided design (CAD) software.
1 code implementation • 9 Jun 2021 • Yifei Li, Tao Du, Kui Wu, Jie Xu, Wojciech Matusik
This work presents a differentiable cloth simulator whose additional gradient information facilitates cloth-related applications.
1 code implementation • 5 Jan 2021 • Yifei Li, Stuart T. Johnston, Pascal R. Buenzli, Peter van Heijster, Matthew J. Simpson
In this work we study population survival or extinction using a stochastic, discrete lattice-based random walk model where individuals undergo movement, birth and death events.
no code implementations • 10 Dec 2020 • Yifei Li, Weizhu Bao
We propose an energy-stable parametric finite element method (ES-PFEM) to discretize the motion of a closed curve under surface diffusion with an anisotropic surface energy $\gamma(\theta)$ -- anisotropic surface diffusion -- in two dimensions, while $\theta$ is the angle between the outward unit normal vector and the vertical axis.
Numerical Analysis Numerical Analysis
1 code implementation • 4 Jan 2020 • Yifei Li, Kuangyan Song, Yiming Sun, Liao Zhu
This paper has proposed a new baseline deep learning model of more benefits for image classification.