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pro vyhledávání: '"An Linjun"'
This article addresses the problem of testing the conditional independence of two generic random vectors $X$ and $Y$ given a third random vector $Z$, which plays an important role in statistical and machine learning applications. We propose a new non
Externí odkaz:
http://arxiv.org/abs/2407.17694
Autor:
Xia, Peng, Zhu, Kangyu, Li, Haoran, Zhu, Hongtu, Li, Yun, Li, Gang, Zhang, Linjun, Yao, Huaxiu
The recent emergence of Medical Large Vision Language Models (Med-LVLMs) has enhanced medical diagnosis. However, current Med-LVLMs frequently encounter factual issues, often generating responses that do not align with established medical facts. Retr
Externí odkaz:
http://arxiv.org/abs/2407.05131
Autor:
Xu, Zexing, Zhang, Linjun, Yang, Sitan, Etesami, Rasoul, Tong, Hanghang, Zhang, Huan, Han, Jiawei
Demand prediction is a crucial task for e-commerce and physical retail businesses, especially during high-stake sales events. However, the limited availability of historical data from these peak periods poses a significant challenge for traditional f
Externí odkaz:
http://arxiv.org/abs/2406.16221
Autor:
Wang, Ye, Xun, Jiahao, Hong, Minjie, Zhu, Jieming, Jin, Tao, Lin, Wang, Li, Haoyuan, Li, Linjun, Xia, Yan, Zhao, Zhou, Dong, Zhenhua
Generative retrieval has recently emerged as a promising approach to sequential recommendation, framing candidate item retrieval as an autoregressive sequence generation problem. However, existing generative methods typically focus solely on either b
Externí odkaz:
http://arxiv.org/abs/2406.14017
Autor:
Bellonzi, Nicole, Kunitsa, Alexander, Cantin, Joshua T., Campos-Gonzalez-Angulo, Jorge A., Radin, Maxwell D., Zhou, Yanbing, Johnson, Peter D., Martínez-Martínez, Luis A., Jangrouei, Mohammad Reza, Brahmachari, Aritra Sankar, Wang, Linjun, Patel, Smik, Kodrycka, Monika, Loaiza, Ignacio, Lang, Robert A., Aspuru-Guzik, Alán, Izmaylov, Artur F., Fontalvo, Jhonathan Romero, Cao, Yudong
The industrial manufacturing of chemicals consumes a significant amount of energy and raw materials. In principle, the development of new catalysts could greatly improve the efficiency of chemical production. However, the discovery of viable catalyst
Externí odkaz:
http://arxiv.org/abs/2406.06335
Imbalanced data and spurious correlations are common challenges in machine learning and data science. Oversampling, which artificially increases the number of instances in the underrepresented classes, has been widely adopted to tackle these challeng
Externí odkaz:
http://arxiv.org/abs/2406.03628
The development of generative language models that can create long and coherent textual outputs via autoregression has lead to a proliferation of uses and a corresponding sweep of analyses as researches work to determine the limitations of this new p
Externí odkaz:
http://arxiv.org/abs/2406.06581
Zero-shot visual question answering (VQA) is a challenging task that requires reasoning across modalities. While some existing methods rely on a single rationale within the Chain of Thoughts (CoT) framework, they may fall short of capturing the compl
Externí odkaz:
http://arxiv.org/abs/2406.01402
Autor:
Zhou, Yiyang, Fan, Zhiyuan, Cheng, Dongjie, Yang, Sihan, Chen, Zhaorun, Cui, Chenhang, Wang, Xiyao, Li, Yun, Zhang, Linjun, Yao, Huaxiu
Large Vision-Language Models (LVLMs) have made substantial progress by integrating pre-trained large language models (LLMs) and vision models through instruction tuning. Despite these advancements, LVLMs often exhibit the hallucination phenomenon, wh
Externí odkaz:
http://arxiv.org/abs/2405.14622
Autor:
Chen, Qi, Geng, Xiubo, Rosset, Corby, Buractaon, Carolyn, Lu, Jingwen, Shen, Tao, Zhou, Kun, Xiong, Chenyan, Gong, Yeyun, Bennett, Paul, Craswell, Nick, Xie, Xing, Yang, Fan, Tower, Bryan, Rao, Nikhil, Dong, Anlei, Jiang, Wenqi, Liu, Zheng, Li, Mingqin, Liu, Chuanjie, Li, Zengzhong, Majumder, Rangan, Neville, Jennifer, Oakley, Andy, Risvik, Knut Magne, Simhadri, Harsha Vardhan, Varma, Manik, Wang, Yujing, Yang, Linjun, Yang, Mao, Zhang, Ce
Recent breakthroughs in large models have highlighted the critical significance of data scale, labels and modals. In this paper, we introduce MS MARCO Web Search, the first large-scale information-rich web dataset, featuring millions of real clicked
Externí odkaz:
http://arxiv.org/abs/2405.07526