no code implementations • EMNLP (sustainlp) 2020 • Xinyu Zhang, Andrew Yates, Jimmy Lin
Researchers have proposed simple yet effective techniques for the retrieval problem based on using BERT as a relevance classifier to rerank initial candidates from keyword search.
no code implementations • ACL (NLP4Prog) 2021 • Xinyu Zhang, Ji Xin, Andrew Yates, Jimmy Lin
The task of semantic code search is to retrieve code snippets from a source code corpus based on an information need expressed in natural language.
no code implementations • LREC 2022 • David R. Mortensen, Xinyu Zhang, Chenxuan Cui, Katherine Zhang
This paper describes the first publicly available corpus of Hmong, a minority language of China, Vietnam, Laos, Thailand, and various countries in Europe and the Americas.
no code implementations • 25 Jan 2025 • Xinyu Zhang, Tyler Estro, Geoff Kuenning, Erez Zadok, Klaus Mueller
We present a comprehensive pipeline, augmented by a visual analytics system named ``GapMiner'', that is aimed at exploring and exploiting untapped opportunities within the empty areas of high-dimensional datasets.
no code implementations • 24 Jan 2025 • Long Phan, Alice Gatti, Ziwen Han, Nathaniel Li, Josephina Hu, Hugh Zhang, Sean Shi, Michael Choi, Anish Agrawal, Arnav Chopra, Adam Khoja, Ryan Kim, Jason Hausenloy, Oliver Zhang, Mantas Mazeika, Daron Anderson, Tung Nguyen, Mobeen Mahmood, Fiona Feng, Steven Y. Feng, Haoran Zhao, Michael Yu, Varun Gangal, Chelsea Zou, Zihan Wang, Jessica P. Wang, Pawan Kumar, Oleksandr Pokutnyi, Robert Gerbicz, Serguei Popov, John-Clark Levin, Mstyslav Kazakov, Johannes Schmitt, Geoff Galgon, Alvaro Sanchez, Yongki Lee, Will Yeadon, Scott Sauers, Marc Roth, Chidozie Agu, Søren Riis, Fabian Giska, Saiteja Utpala, Zachary Giboney, Gashaw M. Goshu, Joan of Arc Xavier, Sarah-Jane Crowson, Mohinder Maheshbhai Naiya, Noah Burns, Lennart Finke, Zerui Cheng, Hyunwoo Park, Francesco Fournier-Facio, John Wydallis, Mark Nandor, Ankit Singh, Tim Gehrunger, Jiaqi Cai, Ben McCarty, Darling Duclosel, Jungbae Nam, Jennifer Zampese, Ryan G. Hoerr, Aras Bacho, Gautier Abou Loume, Abdallah Galal, Hangrui Cao, Alexis C Garretson, Damien Sileo, Qiuyu Ren, Doru Cojoc, Pavel Arkhipov, Usman Qazi, Lianghui Li, Sumeet Motwani, Christian Schroeder de Witt, Edwin Taylor, Johannes Veith, Eric Singer, Taylor D. Hartman, Paolo Rissone, Jaehyeok Jin, Jack Wei Lun Shi, Chris G. Willcocks, Aleksandar Mikov, Ameya Prabhu, Longke Tang, Xavier Alapont, Justine Leon Uro, Kevin Zhou, Emily de Oliveira Santos, Andrey Pupasov Maksimov, Edward Vendrow, Kengo Zenitani, Julien Guillod, Yuqi Li, Joshua Vendrow, Vladyslav Kuchkin, Ng Ze-An, Pierre Marion, Denis Efremov, Jayson Lynch, Kaiqu Liang, Andrew Gritsevskiy, Dakotah Martinez, Ben Pageler, Nick Crispino, Dimitri Zvonkine, Natanael Wildner Fraga, Saeed Soori, Ori Press, Henry Tang, Julian Salazar, Sean R. Green, Lina Brüssel, Moon Twayana, Aymeric Dieuleveut, T. Ryan Rogers, Wenjin Zhang, Bikun Li, Jinzhou Yang, Arun Rao, Gabriel Loiseau, Mikhail Kalinin, Marco Lukas, Ciprian Manolescu, Subrata Mishra, Ariel Ghislain Kemogne Kamdoum, Tobias Kreiman, Tad Hogg, Alvin Jin, Carlo Bosio, Gongbo Sun, Brian P Coppola, Tim Tarver, Haline Heidinger, Rafael Sayous, Stefan Ivanov, Joseph M Cavanagh, Jiawei Shen, Joseph Marvin Imperial, Philippe Schwaller, Shaipranesh Senthilkuma, Andres M Bran, Ali Dehghan, Andres Algaba, Brecht Verbeken, David Noever, Ragavendran P V, Lisa Schut, Ilia Sucholutsky, Evgenii Zheltonozhskii, Derek Lim, Richard Stanley, Shankar Sivarajan, Tong Yang, John Maar, Julian Wykowski, Martí Oller, Jennifer Sandlin, Anmol Sahu, Yuzheng Hu, Sara Fish, Nasser Heydari, Archimedes Apronti, Kaivalya Rawal, Tobias Garcia Vilchis, Yuexuan Zu, Martin Lackner, James Koppel, Jeremy Nguyen, Daniil S. Antonenko, Steffi Chern, Bingchen Zhao, Pierrot Arsene, Alan Goldfarb, Sergey Ivanov, Rafał Poświata, Chenguang Wang, Daofeng Li, Donato Crisostomi, Andrea Achilleos, Benjamin Myklebust, Archan Sen, David Perrella, Nurdin Kaparov, Mark H Inlow, Allen Zang, Elliott Thornley, Daniil Orel, Vladislav Poritski, Shalev Ben-David, Zachary Berger, Parker Whitfill, Michael Foster, Daniel Munro, Linh Ho, Dan Bar Hava, Aleksey Kuchkin, Robert Lauff, David Holmes, Frank Sommerhage, Keith Schneider, Zakayo Kazibwe, Nate Stambaugh, Mukhwinder Singh, Ilias Magoulas, Don Clarke, Dae Hyun Kim, Felipe Meneguitti Dias, Veit Elser, Kanu Priya Agarwal, Victor Efren Guadarrama Vilchis, Immo Klose, Christoph Demian, Ujjwala Anantheswaran, Adam Zweiger, Guglielmo Albani, Jeffery Li, Nicolas Daans, Maksim Radionov, Václav Rozhoň, Ziqiao Ma, Christian Stump, Mohammed Berkani, Jacob Platnick, Volodymyr Nevirkovets, Luke Basler, Marco Piccardo, Ferenc Jeanplong, Niv Cohen, Josef Tkadlec, Paul Rosu, Piotr Padlewski, Stanislaw Barzowski, Kyle Montgomery, Aline Menezes, Arkil Patel, Zixuan Wang, Jamie Tucker-Foltz, Jack Stade, Tom Goertzen, Fereshteh Kazemi, Jeremiah Milbauer, John Arnold Ambay, Abhishek Shukla, Yan Carlos Leyva Labrador, Alan Givré, Hew Wolff, Vivien Rossbach, Muhammad Fayez Aziz, Younesse Kaddar, Yanxu Chen, Robin Zhang, Jiayi Pan, Antonio Terpin, Niklas Muennighoff, Hailey Schoelkopf, Eric Zheng, Avishy Carmi, Adam Jones, Jainam Shah, Ethan D. L. Brown, Kelin Zhu, Max Bartolo, Richard Wheeler, Andrew Ho, Shaul Barkan, Jiaqi Wang, Martin Stehberger, Egor Kretov, Kaustubh Sridhar, Zienab EL-Wasif, Anji Zhang, Daniel Pyda, Joanna Tam, David M. Cunningham, Vladimir Goryachev, Demosthenes Patramanis, Michael Krause, Andrew Redenti, Daniel Bugas, David Aldous, Jesyin Lai, Shannon Coleman, Mohsen Bahaloo, Jiangnan Xu, Sangwon Lee, Sandy Zhao, Ning Tang, Michael K. Cohen, Micah Carroll, Orr Paradise, Jan Hendrik Kirchner, Stefan Steinerberger, Maksym Ovchynnikov, Jason O. Matos, Adithya Shenoy, Benedito Alves de Oliveira Junior, Michael Wang, Yuzhou Nie, Paolo Giordano, Philipp Petersen, Anna Sztyber-Betley, Priti Shukla, Jonathan Crozier, Antonella Pinto, Shreyas Verma, Prashant Joshi, Zheng-Xin Yong, Allison Tee, Jérémy Andréoletti, Orion Weller, Raghav Singhal, Gang Zhang, Alexander Ivanov, Seri Khoury, Hamid Mostaghimi, Kunvar Thaman, Qijia Chen, Tran Quoc Khánh, Jacob Loader, Stefano Cavalleri, Hannah Szlyk, Zachary Brown, Jonathan Roberts, William Alley, Kunyang Sun, Ryan Stendall, Max Lamparth, Anka Reuel, Ting Wang, Hanmeng Xu, Sreenivas Goud Raparthi, Pablo Hernández-Cámara, Freddie Martin, Dmitry Malishev, Thomas Preu, Tomek Korbak, Marcus Abramovitch, Dominic Williamson, Ziye Chen, Biró Bálint, M Saiful Bari, Peyman Kassani, ZiHao Wang, Behzad Ansarinejad, Laxman Prasad Goswami, Yewen Sun, Hossam Elgnainy, Daniel Tordera, George Balabanian, Earth Anderson, Lynna Kvistad, Alejandro José Moyano, Rajat Maheshwari, Ahmad Sakor, Murat Eron, Isaac C. McAlister, Javier Gimenez, Innocent Enyekwe, Andrew Favre D. O., Shailesh Shah, Xiaoxiang Zhou, Firuz Kamalov, Ronald Clark, Sherwin Abdoli, Tim Santens, Khalida Meer, Harrison K Wang, Kalyan Ramakrishnan, Evan Chen, Alessandro Tomasiello, G. Bruno De Luca, Shi-Zhuo Looi, Vinh-Kha Le, Noam Kolt, Niels Mündler, Avi Semler, Emma Rodman, Jacob Drori, Carl J Fossum, Milind Jagota, Ronak Pradeep, Honglu Fan, Tej Shah, Jonathan Eicher, Michael Chen, Kushal Thaman, William Merrill, Carter Harris, Jason Gross, Ilya Gusev, Asankhaya Sharma, Shashank Agnihotri, Pavel Zhelnov, Siranut Usawasutsakorn, Mohammadreza Mofayezi, Sergei Bogdanov, Alexander Piperski, Marc Carauleanu, David K. Zhang, Dylan Ler, Roman Leventov, Ignat Soroko, Thorben Jansen, Pascal Lauer, Joshua Duersch, Vage Taamazyan, Wiktor Morak, Wenjie Ma, William Held, Tran Đuc Huy, Ruicheng Xian, Armel Randy Zebaze, Mohanad Mohamed, Julian Noah Leser, Michelle X Yuan, Laila Yacar, Johannes Lengler, Hossein Shahrtash, Edson Oliveira, Joseph W. Jackson, Daniel Espinosa Gonzalez, Andy Zou, Muthu Chidambaram, Timothy Manik, Hector Haffenden, Dashiell Stander, Ali Dasouqi, Alexander Shen, Emilien Duc, Bita Golshani, David Stap, Mikalai Uzhou, Alina Borisovna Zhidkovskaya, Lukas Lewark, Mátyás Vincze, Dustin Wehr, Colin Tang, Zaki Hossain, Shaun Phillips, Jiang Muzhen, Fredrik Ekström, Angela Hammon, Oam Patel, Nicolas Remy, Faraz Farhidi, George Medley, Forough Mohammadzadeh, Madellene Peñaflor, Haile Kassahun, Alena Friedrich, Claire Sparrow, Taom Sakal, Omkar Dhamane, Ali Khajegili Mirabadi, Eric Hallman, Mike Battaglia, Mohammad Maghsoudimehrabani, Hieu Hoang, Alon Amit, Dave Hulbert, Roberto Pereira, Simon Weber, Stephen Mensah, Nathan Andre, Anton Peristyy, Chris Harjadi, Himanshu Gupta, Stephen Malina, Samuel Albanie, Will Cai, Mustafa Mehkary, Frank Reidegeld, Anna-Katharina Dick, Cary Friday, Jasdeep Sidhu, Wanyoung Kim, Mariana Costa, Hubeyb Gurdogan, Brian Weber, Harsh Kumar, Tong Jiang, Arunim Agarwal, Chiara Ceconello, Warren S. Vaz, Chao Zhuang, Haon Park, Andrew R. Tawfeek, Daattavya Aggarwal, Michael Kirchhof, Linjie Dai, Evan Kim, Johan Ferret, Yuzhou Wang, Minghao Yan, Krzysztof Burdzy, Lixin Zhang, Antonio Franca, Diana T. Pham, Kang Yong Loh, Joshua Robinson, Shreen Gul, Gunjan Chhablani, Zhehang Du, Adrian Cosma, Colin White, Robin Riblet, Prajvi Saxena, Jacob Votava, Vladimir Vinnikov, Ethan Delaney, Shiv Halasyamani, Syed M. Shahid, Jean-Christophe Mourrat, Lavr Vetoshkin, Renas Bacho, Vincent Ginis, Aleksandr Maksapetyan, Florencia de la Rosa, Xiuyu Li, Guillaume Malod, Leon Lang, Julien Laurendeau, Fatimah Adesanya, Julien Portier, Lawrence Hollom, Victor Souza, Yuchen Anna Zhou, Yiğit Yalın, Gbenga Daniel Obikoya, Luca Arnaboldi, Rai, Filippo Bigi, Kaniuar Bacho, Pierre Clavier, Gabriel Recchia, Mara Popescu, Nikita Shulga, Ngefor Mildred Tanwie, Thomas C. H. Lux, Ben Rank, Colin Ni, Alesia Yakimchyk, Huanxu, Liu, Olle Häggström, Emil Verkama, Himanshu Narayan, Hans Gundlach, Leonor Brito-Santana, Brian Amaro, Vivek Vajipey, Rynaa Grover, Yiyang Fan, Gabriel Poesia Reis e Silva, Linwei Xin, Yosi Kratish, Jakub Łucki, Wen-Ding Li, Justin Xu, Kevin Joseph Scaria, Freddie Vargus, Farzad Habibi, Long, Lian, Emanuele Rodolà, Jules Robins, Vincent Cheng, Declan Grabb, Ida Bosio, Tony Fruhauff, Ido Akov, Eve J. Y. Lo, Hao Qi, Xi Jiang, Ben Segev, Jingxuan Fan, Sarah Martinson, Erik Y. Wang, Kaylie Hausknecht, Michael P. Brenner, Mao Mao, Yibo Jiang, Xinyu Zhang, David Avagian, Eshawn Jessica Scipio, Muhammad Rehan Siddiqi, Alon Ragoler, Justin Tan, Deepakkumar Patil, Rebeka Plecnik, Aaron Kirtland, Roselynn Grace Montecillo, Stephane Durand, Omer Faruk Bodur, Zahra Adoul, Mohamed Zekry, Guillaume Douville, Ali Karakoc, Tania C. B. Santos, Samir Shamseldeen, Loukmane Karim, Anna Liakhovitskaia, Nate Resman, Nicholas Farina, Juan Carlos Gonzalez, Gabe Maayan, Sarah Hoback, Rodrigo De Oliveira Pena, Glen Sherman, Hodjat Mariji, Rasoul Pouriamanesh, Wentao Wu, Gözdenur Demir, Sandra Mendoza, Ismail Alarab, Joshua Cole, Danyelle Ferreira, Bryan Johnson, Hsiaoyun Milliron, Mohammad Safdari, Liangti Dai, Siriphan Arthornthurasuk, Alexey Pronin, Jing Fan, Angel Ramirez-Trinidad, Ashley Cartwright, Daphiny Pottmaier, Omid Taheri, David Outevsky, Stanley Stepanic, Samuel Perry, Luke Askew, Raúl Adrián Huerta Rodríguez, Abdelkader Dendane, Sam Ali, Ricardo Lorena, Krishnamurthy Iyer, Sk Md Salauddin, Murat Islam, Juan Gonzalez, Josh Ducey, Russell Campbell, Maja Somrak, Vasilios Mavroudis, Eric Vergo, Juehang Qin, Benjámin Borbás, Eric Chu, Jack Lindsey, Anil Radhakrishnan, Antoine Jallon, I. M. J. McInnis, Alex Hoover, Sören Möller, Song Bian, John Lai, Tejal Patwardhan, Summer Yue, Alexandr Wang, Dan Hendrycks
However, benchmarks are not keeping pace in difficulty: LLMs now achieve over 90\% accuracy on popular benchmarks like MMLU, limiting informed measurement of state-of-the-art LLM capabilities.
Ranked #4 on
Humanity's Last Exam
on Humanity's Last Exam
no code implementations • 23 Jan 2025 • Jianfeng Zhu, Ruoming Jin, Hailong Jiang, Yulan Wang, Xinyu Zhang, Karin G. Coifman
This study applies Large Language Models (LLMs) to analyze adolescents' social media posts, uncovering emotional patterns (e. g., sadness, guilt, fear, joy) and contextual factors (e. g., family, peers, school) related to substance use.
no code implementations • 13 Jan 2025 • Xinyu Zhang, Zicheng Duan, Dong Gong, Lingqiao Liu
We then design a motion consistency loss to maintain similar feature correlation patterns in the generated video, using the gradient of this loss in the latent space to guide the generation process for precise motion control.
no code implementations • 11 Dec 2024 • Chi-Shiang Gau, Xingyu Chen, Tara Javidi, Xinyu Zhang
In this work, we propose a training-free Gaussian reconstruction method for RF Radiance Field.
no code implementations • 4 Dec 2024 • Hannan Lu, Xiaohe Wu, Shudong Wang, Xiameng Qin, Xinyu Zhang, Junyu Han, WangMeng Zuo, Ji Tao
Generating multi-view videos for autonomous driving training has recently gained much attention, with the challenge of addressing both cross-view and cross-frame consistency.
no code implementations • 3 Dec 2024 • Changzhi Zhou, Dandan song, Yuhang Tian, Zhijing Wu, Hao Wang, Xinyu Zhang, Jun Yang, ZiYi Yang, Shuhao Zhang
For the fine-tuning-dependent paradigm, we efficiently fine-tune LLMs using instruction-based multi-task learning.
no code implementations • 26 Nov 2024 • Xinyu Zhang, Lingling Zhang, Yanrui Wu, Muye Huang, Wenjun Wu, Bo Li, Shaowei Wang, Jun Liu
Meanwhile, we present the Hierarchical Knowledge Integration framework for Diagram Question Generation (HKI-DQG) as a strong baseline.
1 code implementation • 23 Nov 2024 • Jilong Guo, Haobo Yang, Mo Zhou, Xinyu Zhang
This method constructs specific masks based on gradient fluctuations to isolate parameters influenced by other tasks, ensuring that the model achieves strong performance across all scenarios without adding extra parameters.
no code implementations • 17 Nov 2024 • Lei Yang, Xinyu Zhang, Jun Li, Chen Wang, Zhiying Song, Tong Zhao, Ziying Song, Li Wang, Mo Zhou, Yang shen, Kai Wu, Chen Lv
Previous studies have demonstrated the effectiveness of cooperative perception in extending the perception range and overcoming occlusions, thereby improving the safety of autonomous driving.
no code implementations • 16 Nov 2024 • Xingyu Chen, Zihao Feng, Kun Qian, Xinyu Zhang
Radio frequency (RF) propagation modeling poses unique electromagnetic simulation challenges.
1 code implementation • 16 Nov 2024 • Yixiang Chen, Xinyu Zhang, Jinran Wang, Xurong Xie, Nan Yan, Hui Chen, Lan Wang
The Structured Dialogue System, referred to as SuDoSys, is an innovative Large Language Model (LLM)-based chatbot designed to provide psychological counseling.
no code implementations • 13 Nov 2024 • Shijin Gong, Huihang Liu, Xinyu Zhang
We provide theoretical guarantees for our approach, including the consistency of profit estimation and convergence of our decisions to the optimal solution.
no code implementations • 7 Nov 2024 • Xinyu Zhang, Jing Lu, Vinh Q. Tran, Tal Schuster, Donald Metzler, Jimmy Lin
Results show that the general shared semantics could get the models a long way in making the predictions on mLMs with different tokenizers and model sizes.
no code implementations • 17 Oct 2024 • Yanpeng Sun, Huaxin Zhang, Qiang Chen, Xinyu Zhang, Nong Sang, Gang Zhang, Jingdong Wang, Zechao Li
QLadder employs a learnable ``\textit{ladder}'' structure to deeply aggregates the intermediate representations from the frozen pretrained visual encoder (e. g., CLIP image encoder).
Ranked #161 on
Visual Question Answering
on MM-Vet
1 code implementation • 4 Oct 2024 • Xinyu Zhang, YuHan Liu, Haonan Chang, Liam Schramm, Abdeslam Boularias
Based on CCT, we propose the Autoregressive Policy (ARP) architecture, which solves manipulation tasks by generating hybrid action sequences.
Ranked #2 on
Robot Manipulation
on RLBench
no code implementations • 3 Sep 2024 • Maoke Miao, Xinyu Zhang, Bo Liu, Rui Yin, Jiantao Yuan, Feng Gao, Xiao-Yu Chen
The Kolmogorov-Smirnov (KS) goodness-of-fit statistical tools are employed to investigate the validity of $k$NN approximation under different channel conditions and it is shown that the choice of $k$ plays a significant role in the approximation accuracy.
no code implementations • 3 Sep 2024 • Xinyu Zhang, Linmei Hu, Luhao Zhang, Dandan song, Heyan Huang, Liqiang Nie
In our Laser, the prefix is utilized to incorporate user-item collaborative information and adapt the LLM to the recommendation task, while the suffix converts the output embeddings of the LLM from the language space to the recommendation space for the follow-up item recommendation.
no code implementations • 3 Sep 2024 • Muye Huang, Lingling Zhang, Lai Han, Wenjun Wu, Xinyu Zhang, Jun Liu
Charts are widely used for data visualization across various fields, including education, research, and business.
1 code implementation • 3 Sep 2024 • Muye Huang, Han Lai, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu
Chart understanding enables automated data analysis for humans, which requires models to achieve highly accurate visual comprehension.
1 code implementation • 1 Sep 2024 • Haobo Yang, Shiyan Zhang, Zhuoyi Yang, Xinyu Zhang, Li Wang, Yifan Tang, Jilong Guo, Jun Li
Entropy Loss is formulated based on the functionality of feature compression networks within the perception model.
1 code implementation • 31 Aug 2024 • Haonan Chang, Kowndinya Boyalakuntla, YuHan Liu, Xinyu Zhang, Liam Schramm, Abdeslam Boularias
We present a novel Diffusion-based Affordance Prediction (DAP) pipeline for the multi-modal object storage problem.
no code implementations • 30 Aug 2024 • Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang, Yin Jin
When estimating CATE using high-dimensional data, there have been many variable selection methods and neural network approaches based on representation learning, while these methods do not provide a way to verify whether the subset of variables after dimensionality reduction or the learned representations still satisfy the unconfoundedness assumption during the estimation process, which can lead to ineffective estimates of the treatment effects.
no code implementations • 27 Aug 2024 • Jun Chen, Anqi Chen, Bingkun Jiang, Mohammad S. Obaidat, Ni Li, Xinyu Zhang
Accordingly, this study adopts brain functional connectivity with electroencephalography signals to capture associations in brain regions across multiple subjects for evaluating real-time cognitive states.
1 code implementation • 20 Aug 2024 • Wen Cheng, Ke Sun, Xinyu Zhang, Wei Wang
The rapid development of large language models (LLMs) has significantly advanced code completion capabilities, giving rise to a new generation of LLM-based Code Completion Tools (LCCTs).
1 code implementation • 30 Jul 2024 • Lingfeng Yang, Xinyu Zhang, Xiang Li, Jinwen Chen, Kun Yao, Gang Zhang, Errui Ding, Lingqiao Liu, Jingdong Wang, Jian Yang
Our work contributes in three aspects: proposing a dataset containing numerous instructed image pairs; fine-tuning a diffusion model for rational generation; and generating synthetic data to boost downstream tasks.
1 code implementation • 24 Jul 2024 • Junjing Zheng, Xinyu Zhang, Weidong Jiang
Recently, introducing Tensor Decomposition (TD) methods into unsupervised feature selection (UFS) has been a rising research point.
no code implementations • 20 Jul 2024 • Xinyu Zhang, Beibei Li, Beihong Jin
User interests can be viewed over different time scales, mainly including stable long-term preferences and changing short-term intentions, and their combination facilitates the comprehensive sequential recommendation.
no code implementations • 19 Jul 2024 • Yurong Zhang, Honghao Chen, Xinyu Zhang, Xiangxiang Chu, Li Song
Parameter-efficient transfer learning (PETL) is a promising task, aiming to adapt the large-scale pre-trained model to downstream tasks with a relatively modest cost.
5 code implementations • 15 Jul 2024 • An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, TianHao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan
This report introduces the Qwen2 series, the latest addition to our large language models and large multimodal models.
Ranked #1 on
Arithmetic Reasoning
on GSM8K
(using extra training data)
1 code implementation • 15 Jul 2024 • Yu Wang, Xiangbo Su, Qiang Chen, Xinyu Zhang, Teng Xi, Kun Yao, Errui Ding, Gang Zhang, Jingdong Wang
Open-vocabulary object detection focusing on detecting novel categories guided by natural language.
1 code implementation • 7 Jul 2024 • Jianlong Chen, Wei Xu, Zhicheng Ding, Jinxin Xu, Hao Yan, Xinyu Zhang
Prompt recovery, a crucial task in natural language processing, entails the reconstruction of prompts or instructions that language models use to convert input text into a specific output.
1 code implementation • 1 Jul 2024 • Mingxiang Liao, Hannan Lu, Xinyu Zhang, Fang Wan, Tianyu Wang, Yuzhong Zhao, WangMeng Zuo, Qixiang Ye, Jingdong Wang
For this purpose, we establish a new benchmark comprising text prompts that fully reflect multiple dynamics grades, and define a set of dynamics scores corresponding to various temporal granularities to comprehensively evaluate the dynamics of each generated video.
1 code implementation • 28 Jun 2024 • Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Daniel Palenicek, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar
Key features of the framework include: integration of ROS with an AI agent connected to a plethora of open-source and commercial LLMs, automatic extraction of a behavior from the LLM output and execution of ROS actions/services, support for three behavior modes (sequence, behavior tree, state machine), imitation learning for adding new robot actions to the library of possible actions, and LLM reflection via human and environment feedback.
1 code implementation • 24 Jun 2024 • Feng Xu, Yan Yin, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Zongzhang Zhang
In this work, we propose a novel framework for alpha discovery using DRL by formulating the alpha discovery process as program construction.
1 code implementation • 16 Jun 2024 • Wenyan Li, Xinyu Zhang, Jiaang Li, Qiwei Peng, Raphael Tang, Li Zhou, Weijia Zhang, Guimin Hu, Yifei Yuan, Anders Søgaard, Daniel Hershcovich, Desmond Elliott
Food is a rich and varied dimension of cultural heritage, crucial to both individuals and social groups.
no code implementations • 12 Jun 2024 • Raphael Tang, Xinyu Zhang, Lixinyu Xu, Yao Lu, Wenyan Li, Pontus Stenetorp, Jimmy Lin, Ferhan Ture
As far as we are aware, we are the first to analyze diffusion variability from a visuolinguistic perspective.
1 code implementation • 12 Jun 2024 • Xinyu Zhang, YuHan Liu, Haonan Chang, Abdeslam Boularias
Learning general-purpose models from diverse datasets has achieved great success in machine learning.
1 code implementation • 5 Jun 2024 • Qiang Chen, Xiangbo Su, Xinyu Zhang, Jian Wang, Jiahui Chen, Yunpeng Shen, Chuchu Han, Ziliang Chen, Weixiang Xu, Fanrong Li, Shan Zhang, Kun Yao, Errui Ding, Gang Zhang, Jingdong Wang
In this paper, we present a light-weight detection transformer, LW-DETR, which outperforms YOLOs for real-time object detection.
no code implementations • 28 May 2024 • Zebin You, Xinyu Zhang, Hanzhong Guo, Jingdong Wang, Chongxuan Li
However, through distribution classification tasks, we reveal that, from the perspective of neural network-based classifiers, even advanced diffusion models are still far from this goal.
1 code implementation • 28 May 2024 • Kangyao Huang, Di Guo, Xinyu Zhang, Xiangyang Ji, Huaping Liu
Training an agent to adapt to specific tasks through co-optimization of morphology and control has widely attracted attention.
no code implementations • 27 May 2024 • Xinyu Zhang, Mengxue Kang, Fei Wei, Shuang Xu, Yuhe Liu, Lin Ma
By providing the diffusion models with knowledge of the generated prompt and image mask, our models generate images with a superior understanding of instructions.
1 code implementation • 17 May 2024 • Kaiyu Huang, Fengran Mo, Xinyu Zhang, Hongliang Li, You Li, Yuanchi Zhang, Weijian Yi, Yulong Mao, Jinchen Liu, Yuzhuang Xu, Jinan Xu, Jian-Yun Nie, Yang Liu
The survey aims to help the research community address multilingual problems and provide a comprehensive understanding of the core concepts, key techniques, and latest developments in multilingual natural language processing based on LLMs.
no code implementations • 16 May 2024 • Xinyu Zhang, Yijin Xiong, Qianxin Qu, RenJie Wang, Xin Gao, Jing Liu, Shichun Guo, Jun Li
Camera and LiDAR, the bedrock sensors in autonomous driving, exhibit expansive applicability.
no code implementations • 2 May 2024 • Lu Zhang, Xiaomeng Zhang, Xinyu Zhang
As an alternative to synthetic control, the distributional Synthetic Control (DSC) proposed by Gunsilius (2023) provides estimates for quantile treatment effect and thus enabling researchers to comprehensively understand the impact of interventions in causal inference.
no code implementations • 16 Apr 2024 • Xinyu Zhang, Weidong Jiang, Xiangfeng Qiu, Yongxiang Liu
In order to solve this problem, we propose a new optimization method for slow-time transmit sequence design.
1 code implementation • 11 Apr 2024 • Weiyu Sun, Xinyu Zhang, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen
Remote photoplethysmography (rPPG) technology has become increasingly popular due to its non-invasive monitoring of various physiological indicators, making it widely applicable in multimedia interaction, healthcare, and emotion analysis.
1 code implementation • 23 Mar 2024 • Songlin Xu, Xinyu Zhang, Lianhui Qin
Student simulation in online education is important to address dynamic learning behaviors of students with diverse backgrounds.
no code implementations • 20 Mar 2024 • Qi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinyu Zhang, Zhao Cao
Based on these findings, we then propose several simple document pruning methods to reduce the storage overhead and compare the effectiveness of different pruning methods on different late-interaction models.
no code implementations • 15 Mar 2024 • Kangyao Huang, Di Guo, Xinyu Zhang, Xiangyang Ji, Huaping Liu
It is common for us to feel pressure in a competition environment, which arises from the desire to obtain success comparing with other individuals or opponents.
2 code implementations • 12 Mar 2024 • Jingcong Liang, Rong Ye, Meng Han, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhongyu Wei
How can we construct an automated debate judge to evaluate an extensive, vibrant, multi-turn debate?
no code implementations • 10 Mar 2024 • Junhui Yin, Xinyu Zhang, Lin Wu, Xiaojie Wang
Inspired by in-context learning in natural language processing (NLP), we propose In-Context Prompt Learning (InCPL) for test-time visual recognition tasks, which empowers a pre-trained vision-language model with labeled examples as context information on downstream task.
no code implementations • 6 Mar 2024 • Xuying Xiong, Xinyu Zhang, Weidong Jiang, Tianpeng Liu
We extract the EM scattering (EMS) information from the complex SAR data and integrate the physical properties of the target into the network through a dual-stream framework to guide the network to learn physically meaningful and discriminative features.
1 code implementation • CVPR 2024 • Yanpeng Sun, Jiahui Chen, Shan Zhang, Xinyu Zhang, Qiang Chen, Gang Zhang, Errui Ding, Jingdong Wang, Zechao Li
In this paper, we propose a novel Visual Reference Prompt (VRP) encoder that empowers the Segment Anything Model (SAM) to utilize annotated reference images as prompts for segmentation, creating the VRP-SAM model.
no code implementations • 17 Feb 2024 • Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu
DORA incorporates an information bottleneck principle that maximizes mutual information between the dynamics encoding and the environmental data, while minimizing mutual information between the dynamics encoding and the actions of the behavior policy.
1 code implementation • 6 Feb 2024 • Xiangxiang Chu, Limeng Qiao, Xinyu Zhang, Shuang Xu, Fei Wei, Yang Yang, Xiaofei Sun, Yiming Hu, Xinyang Lin, Bo Zhang, Chunhua Shen
We introduce MobileVLM V2, a family of significantly improved vision language models upon MobileVLM, which proves that a delicate orchestration of novel architectural design, an improved training scheme tailored for mobile VLMs, and rich high-quality dataset curation can substantially benefit VLMs' performance.
1 code implementation • 4 Feb 2024 • Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Yang Yu, Junqiao Zhao, Pheng-Ann Heng
As demonstrations, we propose a supervised and a self-supervised implementation of $I(Z; M)$, and empirically show that the corresponding optimization algorithms exhibit remarkable generalization across a broad spectrum of RL benchmarks, context shift scenarios, data qualities and deep learning architectures.
1 code implementation • 29 Jan 2024 • Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu
To our knowledge, for the very first time in lidar-based 3D detection tasks, the PTQ INT8 model's accuracy is almost the same as the FP32 model while enjoying $3\times$ inference speedup.
1 code implementation • 29 Jan 2024 • Lei Yang, Xinyu Zhang, Jun Li, Li Wang, Chuang Zhang, Li Ju, Zhiwei Li, Yang shen
Our method surpasses all previous methods by a significant margin in new scenes, including +42. 57% for vehicle, +5. 87% for pedestrian, and +14. 89% for cyclist compared to BEVHeight on the DAIR-V2X-I heterologous benchmark.
no code implementations • 8 Jan 2024 • Xinyu Zhang, Vincent CS Lee, Feng Liu
Thyroid cancer, the most prevalent endocrine cancer, has gained significant global attention due to its impact on public health.
no code implementations • CVPR 2024 • Wenfeng Song, Xinyu Zhang, Shuai Li, Yang Gao, Aimin Hao, Xia Hou, Chenglizhao Chen, Ning li, Hong Qin
To date the quest to rapidly and effectively produce human-object interaction (HOI) animations directly from textual descriptions stands at the forefront of computer vision research.
no code implementations • CVPR 2024 • Shaowei Wang, Lingling Zhang, Longji Zhu, Tao Qin, Kim-Hui Yap, Xinyu Zhang, Jun Liu
While Large Language Models (LLMs) show promise in question-answering there is still a gap in how to cooperate and interact with the diagram parsing process.
1 code implementation • CVPR 2024 • Xin Gao, Tianheng Qiu, Xinyu Zhang, Hanlin Bai, Kang Liu, Xuan Huang, Hu Wei, Guoying Zhang, Huaping Liu
Coarse-to-fine schemes are widely used in traditional single-image motion deblur; however, in the context of deep learning, existing multi-scale algorithms not only require the use of complex modules for feature fusion of low-scale RGB images and deep semantics, but also manually generate low-resolution pairs of images that do not have sufficient confidence.
Ranked #1 on
Deblurring
on RSBlur
1 code implementation • 28 Dec 2023 • Xiangxiang Chu, Limeng Qiao, Xinyang Lin, Shuang Xu, Yang Yang, Yiming Hu, Fei Wei, Xinyu Zhang, Bo Zhang, Xiaolin Wei, Chunhua Shen
We present MobileVLM, a competent multimodal vision language model (MMVLM) targeted to run on mobile devices.
1 code implementation • 21 Dec 2023 • Jiayu Lin, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei
The results show the competitiveness of our proposed framework and evaluator in counter-argument generation tasks.
1 code implementation • 18 Dec 2023 • Nandan Thakur, Luiz Bonifacio, Xinyu Zhang, Odunayo Ogundepo, Ehsan Kamalloo, David Alfonso-Hermelo, Xiaoguang Li, Qun Liu, Boxing Chen, Mehdi Rezagholizadeh, Jimmy Lin
NoMIRACL includes both a non-relevant and a relevant subset.
no code implementations • 5 Dec 2023 • Xinyu Zhang, Sebastian Hofstätter, Patrick Lewis, Raphael Tang, Jimmy Lin
However, current works in this direction all depend on the GPT models, making it a single point of failure in scientific reproducibility.
1 code implementation • 5 Dec 2023 • Fei Wei, Xinyu Zhang, Ailing Zhang, Bo Zhang, Xiangxiang Chu
To evaluate the reasoning capability of Lenna, we construct a ReasonDet dataset to measure its performance on reasoning-based detection.
1 code implementation • 4 Dec 2023 • Songlin Xu, Dongyin Hu, Ru Wang, Xinyu Zhang
Human visual attention is susceptible to social influences.
1 code implementation • 1 Dec 2023 • Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei
In this paper, we propose the Hierarchical Argumentation Graph (Hi-ArG), a new structure to organize arguments.
1 code implementation • 30 Nov 2023 • Raphael Tang, Xinyu Zhang, Jimmy Lin, Ferhan Ture
We propose a logistic Bradley-Terry probe which predicts word pair preferences of LLMs from the words' hidden vectors.
no code implementations • 30 Nov 2023 • Zhebin Zhang, Xinyu Zhang, Yuanhang Ren, Saijiang Shi, Meng Han, Yongkang Wu, Ruofei Lai, Zhao Cao
In this paper, we propose an Induction-Augmented Generation (IAG) framework that utilizes inductive knowledge along with the retrieved documents for implicit reasoning.
no code implementations • 22 Nov 2023 • Xingyu Chen, Xinyu Zhang, Qiyue Xia, Xinmin Fang, Chris Xiaoxuan Lu, Zhengxiong Li
We propose DiffSBR, a differentiable framework for mmWave-based 3D reconstruction.
1 code implementation • 9 Nov 2023 • Xinyu Zhang, Weiyu Sun, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen
Remote photoplethysmography (rPPG) is a noninvasive technique that aims to capture subtle variations in facial pixels caused by changes in blood volume resulting from cardiac activities.
1 code implementation • 1 Nov 2023 • Jung-Woo Chang, Ke Sun, Nasimeh Heydaribeni, Seira Hidano, Xinyu Zhang, Farinaz Koushanfar
Machine Learning (ML) has been instrumental in enabling joint transceiver optimization by merging all physical layer blocks of the end-to-end wireless communication systems.
1 code implementation • NeurIPS 2023 • Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang
To further capture human characteristics, we propose a structure-invariant alignment loss that enforces different masked views, guided by the human part prior, to be closely aligned for the same image.
1 code implementation • 30 Oct 2023 • Songlin Xu, Xinyu Zhang
Student simulation presents a transformative approach to enhance learning outcomes, advance educational research, and ultimately shape the future of effective pedagogy.
no code implementations • 21 Oct 2023 • Li Wang, Xinyu Zhang, Fachuan Zhao, Chuze Wu, Yichen Wang, Ziying Song, Lei Yang, Jun Li, Huaping Liu
The proposed Fuzzy-NMS module combines the volume and clustering density of candidate bounding boxes, refining them with a fuzzy classification method and optimizing the appropriate suppression thresholds to reduce uncertainty in the NMS process.
no code implementations • 20 Oct 2023 • Xinyu Zhang, Li Wang, Zhiqiang Jiang, Kun Dai, Tao Xie, Lei Yang, Wenhao Yu, Yang shen, Jun Li
However, these methods only integrate long-range context information among keypoints with a fixed receptive field, which constrains the network from reconciling the importance of features with different receptive fields to realize complete image perception, hence limiting the matching accuracy.
1 code implementation • 20 Oct 2023 • Xinyu Zhang, Qingyu Liu, Zhongjie Ba, Yuan Hong, Tianhang Zheng, Feng Lin, Li Lu, Kui Ren
In this paper, we first conduct a comprehensive study on prior FL attacks and detection methods.
1 code implementation • 11 Oct 2023 • Xinyu Zhang, Li Wang, Jian Chen, Cheng Fang, Lei Yang, Ziying Song, Guangqi Yang, Yichen Wang, Xiaofei Zhang, Jun Li, Zhiwei Li, Qingshan Yang, Zhenlin Zhang, Shuzhi Sam Ge
Compared with commonly used 3D radars, the latest 4D radars have precise vertical resolution and higher point cloud density, making it a highly promising sensor for autonomous driving in complex environmental perception.
1 code implementation • 11 Oct 2023 • Raphael Tang, Xinyu Zhang, Xueguang Ma, Jimmy Lin, Ferhan Ture
Large language models (LLMs) exhibit positional bias in how they use context, which especially complicates listwise ranking.
no code implementations • 4 Oct 2023 • Xinyu Zhang, Sujit Ghosh
To address these challenges, we develop a sequence of multidimensional integration-based methods that we show to converge to the global optima under some mild regularity conditions.
no code implementations • 30 Sep 2023 • Lei Yang, Jiaxin Yu, Xinyu Zhang, Jun Li, Li Wang, Yi Huang, Chuang Zhang, Hong Wang, Yiming Li
We discover that most existing monocular 3D object detectors rely on the ego-vehicle prior assumption that the optical axis of the camera is parallel to the ground.
no code implementations • 28 Sep 2023 • Lei Yang, Tao Tang, Jun Li, Peng Chen, Kun Yuan, Li Wang, Yi Huang, Xinyu Zhang, Kaicheng Yu
In essence, we regress the height to the ground to achieve a distance-agnostic formulation to ease the optimization process of camera-only perception methods.
1 code implementation • 22 Sep 2023 • Xinyu Zhang, YuHan Liu, Yuting Wang, Abdeslam Boularias
We evaluate DE-ViT on few-shot, and one-shot object detection benchmarks with Pascal VOC, COCO, and LVIS.
Ranked #2 on
Few-Shot Object Detection
on MS-COCO (10-shot)
Binary Classification
Cross-Domain Few-Shot Object Detection
+4
no code implementations • 19 Sep 2023 • Jiagang Liu, Yun Mi, Xinyu Zhang, Xiaocui Li
To adapt to environmental changes, we model the task graph scheduling for computation offloading as a Markov Decision Process (MDP).
2 code implementations • 19 Sep 2023 • Chengyan Wang, Jun Lyu, Shuo Wang, Chen Qin, Kunyuan Guo, Xinyu Zhang, Xiaotong Yu, Yan Li, Fanwen Wang, Jianhua Jin, Zhang Shi, Ziqiang Xu, Yapeng Tian, Sha Hua, Zhensen Chen, Meng Liu, Mengting Sun, Xutong Kuang, Kang Wang, Haoran Wang, Hao Li, Yinghua Chu, Guang Yang, Wenjia Bai, Xiahai Zhuang, He Wang, Jing Qin, Xiaobo Qu
However, a limitation of CMR is its slow imaging speed, which causes patient discomfort and introduces artifacts in the images.
no code implementations • 13 Sep 2023 • Xinyu Zhang, Weiyu Sun, Ying Chen
In this work, we revisit this key challenge through the lens of gradient conflicts on the server side.
1 code implementation • 12 Sep 2023 • Junjing Zheng, Xinyu Zhang, Yongxiang Liu, Weidong Jiang, Kai Huo, Li Liu
A standard convex SPCA-based model with PSD constraint for unsupervised feature selection is proposed.
no code implementations • 6 Sep 2023 • Chao Feng, Xinyu Zhang, Zichu Fei
In some previous works, additional modules like graph neural networks (GNNs) are trained on retrieved knowledge from external knowledge bases, aiming to mitigate the problem of lacking domain-specific knowledge.
1 code implementation • ICCV 2023 • Zhiyin Shao, Xinyu Zhang, Changxing Ding, Jian Wang, Jingdong Wang
In this way, the pre-training task and the T2I-ReID task are made consistent with each other on both data and training levels.
no code implementations • 30 Aug 2023 • Hongjin Qian, Zhicheng Dou, Jiejun Tan, Haonan Chen, Haoqi Gu, Ruofei Lai, Xinyu Zhang, Zhao Cao, Ji-Rong Wen
Previous methods use external knowledge as references for text generation to enhance factuality but often struggle with the knowledge mix-up(e. g., entity mismatch) of irrelevant references.
no code implementations • 24 Aug 2023 • Yan Gong, Xinyu Zhang, Hao liu, Xinmin Jiang, Zhiwei Li, Xin Gao, Lei Lin, Dafeng Jin, Jun Li, Huaping Liu
Specifically, skip-cross fusion strategy connects each layer to each layer in a feed-forward manner, and for each layer, the feature maps of all previous layers are used as input and its own feature maps are used as input to all subsequent layers for the other modality, enhancing feature propagation and multi-modal features fusion.
1 code implementation • 31 Jul 2023 • Ehsan Kamalloo, Aref Jafari, Xinyu Zhang, Nandan Thakur, Jimmy Lin
In this paper, we introduce a new dataset, HAGRID (Human-in-the-loop Attributable Generative Retrieval for Information-seeking Dataset) for building end-to-end generative information-seeking models that are capable of retrieving candidate quotes and generating attributed explanations.
no code implementations • 31 Jul 2023 • Xinyu Zhang, Hanbin Hong, Yuan Hong, Peng Huang, Binghui Wang, Zhongjie Ba, Kui Ren
The language models, especially the basic text classification models, have been shown to be susceptible to textual adversarial attacks such as synonym substitution and word insertion attacks.
1 code implementation • 27 Jul 2023 • Bo Yang, Xinyu Zhang, Jian Zhang, Jun Luo, Mingliang Zhou, Yangjun Pi
To address this problem, we propose a new adaptive threshold focal loss (ATFL) function that decouples the target and the background, and utilizes the adaptive mechanism to adjust the loss weight to force the model to allocate more attention to target features.
1 code implementation • 25 Jul 2023 • Xinyu Zhang, Abdeslam Boularias
Our fine-tuning procedure outperforms state-of-the-art techniques for unsupervised semantic segmentation through linear probing, without the use of any labeled data.
1 code implementation • 17 Jul 2023 • Liu Liu, Shuaifeng Zhi, Zhenhua Du, Li Liu, Xinyu Zhang, Kai Huo, Weidong Jiang
In this paper, we propose a hybrid point-wise Radar-Optical fusion approach for object detection in autonomous driving scenarios.
no code implementations • 15 Jul 2023 • Shijin Gong, Xinyu Zhang
When artificial neural networks have demonstrated exceptional practical success in a variety of domains, investigations into their theoretical characteristics, such as their approximation power, statistical properties, and generalization performance, have concurrently made significant strides.
1 code implementation • 28 Jun 2023 • Pei Liu, Luping Ji, Xinyu Zhang, Feng Ye
Experimental results show that PseMix could often assist state-of-the-art MIL networks to refresh their classification performance on WSIs.
1 code implementation • 2 Jun 2023 • Aleksandra Piktus, Odunayo Ogundepo, Christopher Akiki, Akintunde Oladipo, Xinyu Zhang, Hailey Schoelkopf, Stella Biderman, Martin Potthast, Jimmy Lin
We discuss how Pyserini - a widely used toolkit for reproducible IR research can be integrated with the Hugging Face ecosystem of open-source AI libraries and artifacts.
no code implementations • 30 May 2023 • Yifu Zhang, Hongru Li, Tao Yang, Rui Tao, Zhengyuan Liu, Shimeng Shi, Jiansong Zhang, Ning Ma, Wujin Feng, Zhanhu Zhang, Xinyu Zhang
Transfer learning provides the possibility to solve this problem, but there are too many features in natural images that are not related to the target domain.
1 code implementation • 23 May 2023 • Xinyu Zhang, Hefei Huang, Xu Jia, Dong Wang, Huchuan Lu
In this work, we aim to re-expose the captured photo in post-processing to provide a more flexible way of addressing those issues within a unified framework.
Ranked #5 on
Deblurring
on GoPro
(using extra training data)
no code implementations • 17 May 2023 • Xinyu Chen, Dalei Yu, Xinyu Zhang
The random forest (RF) algorithm has become a very popular prediction method for its great flexibility and promising accuracy.
no code implementations • 14 May 2023 • Xiaoyu Wang, Kangyao Huang, Xinyu Zhang, Honglin Sun, Wenzhuo LIU, Huaping Liu, Jun Li, Pingping Lu
A robot for the field application environment was proposed, and a lightweight global spatial planning technique for the robot based on the graph-search algorithm taking mode switching point optimization into account, with an emphasis on energy efficiency, searching speed, and the viability of real deployment.
no code implementations • 10 May 2023 • Ehsan Kamalloo, Xinyu Zhang, Odunayo Ogundepo, Nandan Thakur, David Alfonso-Hermelo, Mehdi Rezagholizadeh, Jimmy Lin
The ever-increasing size of language models curtails their widespread availability to the community, thereby galvanizing many companies into offering access to large language models through APIs.
no code implementations • 3 May 2023 • Xueguang Ma, Xinyu Zhang, Ronak Pradeep, Jimmy Lin
Supervised ranking methods based on bi-encoder or cross-encoder architectures have shown success in multi-stage text ranking tasks, but they require large amounts of relevance judgments as training data.