Review-LLM: Harnessing Large Language Models for Personalized Review Generation
School of New Media Communication, Tianjin University（天津大学新媒体与传播学院）；Du Xiaoman Financial（度小满金融）；College of Intelligence and Computing, Tianjin University（天津大学智能与计算学部）
Product review generation is an important task in recommender systems, which could provide explanation and persuasiveness for the recommendation. Recently, Large Language Models (LLMs, e.g., ChatGPT) have shown superior text modeling and generating ability, which could be applied in review generation. However, directly applying the LLMs for generating reviews might be troubled by the ``polite'' phenomenon of the LLMs and could not generate personalized reviews (e.g., negative reviews). In this paper, we propose Review-LLM that customizes LLMs for personalized review generation. Firstly, we construct the prompt input by aggregating user historical behaviors, which include corresponding item titles and reviews. This enables the LLMs to capture user interest features and review writing style. Secondly, we incorporate ratings as indicators of satisfaction into the prompt, which could further improve the model's understanding of user preferences and the sentiment tendency control of generated reviews. Finally, we feed the prompt text into LLMs, and use Supervised Fine-Tuning (SFT) to make the model generate personalized reviews for the given user and target item. Experimental results on the real-world dataset show that our fine-tuned model could achieve better review generation performance than existing close-source LLMs.
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
State Key Laboratory of Complex & Critical Software Environment, Beihang University, Beijing, China（复杂与关键软件环境国家重点实验室，北京航空航天大学，北京，中国）；Zhongguancun Laboratory, Beijing, China（中关村实验室，北京，中国）；Aviation System Engineering Institute of China, Beijing, China（中国航空系统工程研究院，北京，中国）；Xi’an Jiaotong University, Xi’an, China（西安交通大学，西安，中国）；Nanjing University, Nanjing, China（南京大学，南京，中国）；Tsinghua University, Beijing, China（清华大学，北京，中国）；University of Macau, Macau SAR, China（澳门大学，澳门特别行政区，中国）；The Hong Kong Polytechnic University, Hong Kong, China（香港理工大学，香港，中国）；University of Illinois at Chicago, Chicago, USA（伊利诺伊大学香槟分校，芝加哥，美国）
MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment
Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学人工智能学院）；University of International Business and Economics（国际商务经济大学）；AI Lab at Lenovo Research, Lenovo Group Limited（联想集团研究院人工智能实验室）
Automatic Personalized Impression Generation for PET Reports Using Large Language Models
University of Wisconsin（威斯康星大学）；Emory University School of Medicine（埃默里大学医学院）；Children’s Healthcare of Atlanta（亚特兰大儿童医疗保健系统）；Roswell Park Comprehensive Cancer Center（罗斯韦尔公园综合癌症中心）；University at Buffalo Jacobs School of Medicine and Biomedical Sciences（布法罗大学雅各布斯医学与生物医学科学学院）
Virtual Speech Therapist: A Clinician-in-the-Loop AI Agent for Speech Therapy Planning
The Kashmir Hub for Artficial Intelligence（喀布尔人工智能中心）；Microsoft / Vocametrix（微软 / Vocametrix）；IAI, TCG CREST（IAI，TCG CREST）；Université de Lorraine, CNRS, Inria, LORIA（洛林大学，CNRS，Inria，LORIA）；Laboratoire Praxiling, UMR5267, CNRS et Université Paul-Valéry Montpellier 3（Praxiling实验室，UMR5267，CNRS及蒙彼利埃Paul-Valéry大学）；Speechcare iStutter, Portuguese Catholic University（Speechcare iStutter，葡萄牙天主教大学）；CHI – Chair of Health Informatics, TUM University Hospital（健康信息学系，TUM大学医院）；GLAM – Group on Language, Audio, & Music, Imperial College London（语言、音频与音乐小组，伦敦帝国理工学院）
Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately
Shandong University（山东大学）；Peking University（北京大学）；Ant Group（蚂蚁集团）；Renmin University of China（中国人民大学）；Beijing Academy of Artificial Intelligence（北京人工智能研究院）；King Abdullah University of Science and Technology（阿卜杜拉国王科技大学）
Personalized Auto-Research: Towards a True AI Co-Scientist
Vanderbilt University（范德堡大学）；Adobe Research（奥多比研究院）；Dolby Laboratories（杜比实验室）；University of Georgia（佐治亚大学）；Cisco AI Research（思科人工智能研究院）；Texas A&M University（德克萨斯农工大学）
