no code implementations • 30 Apr 2024 • Zhihao Zhang, Feiqi Cao, Yingbin Mo, Yiran Zhang, Josiah Poon, Caren Han
In addition, we also propose a new audience conversation augmented commentary dataset by covering the game situation and audience conversation understanding, and introducing a robust joint multimodal dual learning model as a baseline.
no code implementations • 8 Apr 2024 • Qinglu Min, Jie Zhao, Zhihao Zhang, Chen Min
Deep learning has recently demonstrated its excellent performance on the task of multi-view stereo (MVS).
no code implementations • 28 Feb 2024 • Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang
The limited scale of current 3D shape datasets hinders the advancements in 3D shape understanding, and motivates multi-modal learning approaches which transfer learned knowledge from data-abundant 2D image and language modalities to 3D shapes.
no code implementations • 22 Feb 2024 • Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang
Furthermore, this core region exhibits significant dimensional dependency, perturbations to even a single parameter on specific dimensions leading to a loss of linguistic competence.
no code implementations • 18 Feb 2024 • Nuo Xu, Jun Zhao, Can Zu, Sixian Li, Lu Chen, Zhihao Zhang, Rui Zheng, Shihan Dou, Wenjuan Qin, Tao Gui, Qi Zhang, Xuanjing Huang
To address this issue, we propose a cost-effective preference learning strategy, optimizing reward models by distinguishing between human and machine translations.
no code implementations • 25 Jan 2024 • Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, LanTing LI, Phitchaya Mangpo Phothilimthana, Zhihao Jia
Retrieval-augmented language models (RaLM) have demonstrated the potential to solve knowledge-intensive natural language processing (NLP) tasks by combining a non-parametric knowledge base with a parametric language model.
no code implementations • 2 Jan 2024 • Jun Zhao, Zhihao Zhang, Luhui Gao, Qi Zhang, Tao Gui, Xuanjing Huang
In recent times, substantial advancements have been witnessed in large language models (LLMs), exemplified by ChatGPT, showcasing remarkable proficiency across a range of complex tasks.
no code implementations • 28 Dec 2023 • Zhihao Zhang, Yuan Zuo, Chenghua Lin, Junjie Wu
Finally, we merge the quality phrases from both the Annotator and Generator as the final predictions, considering their complementary nature and distinct characteristics.
no code implementations • 23 Dec 2023 • Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Hongyi Jin, Tianqi Chen, Zhihao Jia
In the rapidly evolving landscape of artificial intelligence (AI), generative large language models (LLMs) stand at the forefront, revolutionizing how we interact with our data.
1 code implementation • 24 Oct 2023 • Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin
Previous approaches for automatic lay summarisation are exclusively reliant on the source article that, given it is written for a technical audience (e. g., researchers), is unlikely to explicitly define all technical concepts or state all of the background information that is relevant for a lay audience.
no code implementations • 23 Oct 2023 • Jun Zhao, Zhihao Zhang, Yide Ma, Qi Zhang, Tao Gui, Luhui Gao, Xuanjing Huang
We have discovered a core region in LLMs that corresponds to linguistic competence, accounting for approximately 1% of the total model parameters.
no code implementations • 26 Sep 2023 • Zhihao Zhang, YiWei Chen, Weizhan Zhang, Caixia Yan, Qinghua Zheng, Qi Wang, Wangdu Chen
Viewport prediction is a crucial aspect of tile-based 360 video streaming system.
3 code implementations • 16 May 2023 • Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Zeyu Wang, Zhengxin Zhang, Rae Ying Yee Wong, Alan Zhu, Lijie Yang, Xiaoxiang Shi, Chunan Shi, Zhuoming Chen, Daiyaan Arfeen, Reyna Abhyankar, Zhihao Jia
Our evaluation shows that SpecInfer outperforms existing LLM serving systems by 1. 5-2. 8x for distributed LLM inference and by 2. 6-3. 5x for offloading-based LLM inference, while preserving the same generative performance.
no code implementations • 12 May 2023 • Jian Zhao, Jianan Li, Lei Jin, Jiaming Chu, Zhihao Zhang, Jun Wang, Jiangqiang Xia, Kai Wang, Yang Liu, Sadaf Gulshad, Jiaojiao Zhao, Tianyang Xu, XueFeng Zhu, Shihan Liu, Zheng Zhu, Guibo Zhu, Zechao Li, Zheng Wang, Baigui Sun, Yandong Guo, Shin ichi Satoh, Junliang Xing, Jane Shen Shengmei
Second, we set up two tracks for the first time, i. e., Anti-UAV Tracking and Anti-UAV Detection & Tracking.
no code implementations • 6 Dec 2022 • Mingxiao Huo, Zhihao Zhang, Xinyang Ren, Xianqiang Yang
While the state-of-theart homography method is based on convolution neural networks, few work focuses on transformer which shows superiority in highlevel vision tasks.
no code implementations • 29 Nov 2022 • Zhihao Zhang, Siwen Luo, Junyi Chen, Sijia Lai, Siqu Long, Hyunsuk Chung, Soyeon Caren Han
We propose a PiggyBack, a Visual Question Answering platform that allows users to apply the state-of-the-art visual-language pretrained models easily.
1 code implementation • 7 Nov 2022 • Shenglai Zeng, Zonghang Li, Hongfang Yu, Zhihao Zhang, Long Luo, Bo Li, Dusit Niyato
Federated Learning (FL), as a rapidly evolving privacy-preserving collaborative machine learning paradigm, is a promising approach to enable edge intelligence in the emerging Industrial Metaverse.
1 code implementation • 22 Oct 2022 • Chen Tang, Chenghua Lin, Henglin Huang, Frank Guerin, Zhihao Zhang
One of the key challenges of automatic story generation is how to generate a long narrative that can maintain fluency, relevance, and coherence.
1 code implementation • 19 Oct 2022 • Chen Tang, Zhihao Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin
To improve the performance of long text generation, recent studies have leveraged automatically planned event structures (i. e. storylines) to guide story generation.
1 code implementation • 18 Oct 2022 • Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton
Lay summarisation aims to jointly summarise and simplify a given text, thus making its content more comprehensible to non-experts.
Ranked #1 on
Lay Summarization
on PLOS
no code implementations • 2 Oct 2022 • Zhihao Zhang, Zhuoming Chen, Heyang Huang, Zhihao Jia
To address the limitations of existing quantum ML methods, we introduce Quark, a gradient-free quantum learning framework that optimizes quantum ML models using quantum optimization.
1 code implementation • ICLR 2022 • Zhihao Zhang, Zhihao Jia
In addition, we design GradSign, an accurate and simple approximation of {\Psi} using the gradients of a network evaluated at a random initialization state.
no code implementations • 18 Feb 2021 • Jiachen Li, Hengbo Ma, Zhihao Zhang, Jinning Li, Masayoshi Tomizuka
Due to the existence of frequent interactions and uncertainty in the scene evolution, it is desired for the prediction system to enable relational reasoning on different entities and provide a distribution of future trajectories for each agent.
no code implementations • 14 Feb 2020 • Jiachen Li, Hengbo Ma, Zhihao Zhang, Masayoshi Tomizuka
Effective understanding of the environment and accurate trajectory prediction of surrounding dynamic obstacles are indispensable for intelligent mobile systems (like autonomous vehicles and social robots) to achieve safe and high-quality planning when they navigate in highly interactive and crowded scenarios.