Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs
Mengqi Liao, Xiangyu Xi, Ruinian Chen, Jia Leng, Yangen Hu, Ke Zeng, Shuai Liu, Huaiyu Wan
机构
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School of Computer Science and Technology, Beijing Jiaotong University(计算机科学与技术学院,北京交通大学)
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Meituan(美团)
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Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence(北京交通数据挖掘与具身智能重点实验室)
专题命中
效率与部署
:large language model(abstract);language model(abstract);分类 cs.CL、cs.LG
机构
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Ningbo Key Laboratory of Spatial Intelligence and Digital Derivative, Institute of Digital Twin, EIT, Ningbo(宁波空间智能与数字衍生关键实验室,数字孪生研究院,EIT,宁波)
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Shanghai Jiao Tong University(上海交通大学)
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Hong Kong Polytechnic University(香港理工大学)
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Meituan Inc.(美团公司)
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National University of Singapore(新加坡国立大学)
专题命中
效率与部署
:large language model(abstract);language model(abstract);分类 cs.CL
The 1st Solution for 7th LSVOS RVOS Track: SaSaSa2VA
Quanzhu Niu, Dengxian Gong, Shihao Chen, Tao Zhang, Yikang Zhou, Haobo Yuan, Lu Qi, Xiangtai Li, Shunping Ji
机构
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Wuhan University(武汉大学)
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University of California, Merced(加州大学默塞德分校)
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Nanyang Technological University(南洋理工大学)
专题命中
效率与部署
:large language model(abstract);language model(abstract);分类 cs.AI
CommentsThe 1st place report of 7th LSVOS challenge RVOS track in ICCV 2025. The code is released in Sa2VA repository: https://github.com/bytedance/Sa2VA
From Equations to Insights: Unraveling Symbolic Structures in PDEs with LLMs
Rohan Bhatnagar, Ling Liang, Krish Patel, Haizhao Yang
机构
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Department of Computer Science, University of Maryland, College Park, Maryland, USA(计算机科学系,马里兰大学, College Park, Maryland, USA)
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Department of Mathematics, The University of Tennessee, Knoxville, Tennessee, USA(数学系,田纳西大学, Knoxville, Tennessee, USA)
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Department of Mathematics, and Department of Computer Science, University of Maryland, College Park, Maryland, USA(数学系和计算机科学系,马里兰大学, College Park, Maryland, USA)
专题命中
效率与部署
:large language model(abstract);language model(abstract);分类 cs.LG
Wei Du, Nuowei Liu, Jie Wang, Jiahao Kuang, Tao Ji, Xiaoling Wang, Yuanbin Wu
机构
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School of Computer Science and Technology, East China Normal University(东华师范大学计算机科学与技术学院)
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School of Computer Science, Fudan University(复旦大学计算机科学学院)
Optimization of the quantization of dense neural networks from an exact QUBO formulation
Sergio Muñiz Subiñas, Manuel L. González, Jorge Ruiz Gómez, Alejandro Mata Ali, Jorge Martínez Martín, Miguel Franco Hernando, Ángel Miguel García-Vico
机构
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Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Jaén, 23071 Jaén, Spain(数据科学与计算智能安达卢西亚研究机构(DaSCI)、杰嫩大学)
BenCao: An Instruction-Tuned Large Language Model for Traditional Chinese Medicine
Jiacheng Xie, Yang Yu, Yibo Chen, Hanyao Zhang, Lening Zhao, Jiaxuan He, Lei Jiang, Xiaoting Tang, Guanghui An, Dong Xu
机构
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Community Health Service Center Shanghai Pudong New Area(上海浦东新区社区卫生服务中心)
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School of Acupuncture-Moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine(上海中医药大学针灸推拿学院)
专题命中
领域大模型
:large language model(title,abstract);language model(title,abstract);LLM(abstract);instruction tuning(abstract)
机构
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Xi’an Jiaotong-Liverpool University(西安交通大学利物浦大学)
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University of Liverpool(利物浦大学)
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School of Computer Science and Engineering(计算机科学与工程学院)
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Huizhou University(惠州大学)
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Microsoft(微软公司)
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Shandong University(山东大学)
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Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences(深圳先进技术研究所,中国科学院)
专题命中
领域大模型
:large language model(title,abstract);language model(title,abstract);LLM(abstract)
CommentsAccepted in IEEE Transactions on Consumer Electronics 2025
机构
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School of Computer Science & Software Engineering, Shenzhen University(深圳大学计算机科学与软件工程学院)
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School of Computing and Information Technology, Great Bay University(大亚湾大学计算机与信息科技学院)
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College of Computer Science, Nankai University(南开大学计算机学院)
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School of Artificial Intelligence, Shenzhen University(深圳大学人工智能学院)
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Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen University(广东省智能信息处理重点实验室)
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National Engineering Laboratory of Big Data System Computing Technology, Shenzhen University(大数据系统计算技术国家工程实验室)
专题命中
领域大模型
:large language model(title,abstract);language model(title,abstract);LLM(abstract)
CommentsAccepted by IEEE Transactions on Instrumentation and Measurement (TIM)