Evaluating User Experience in Conversational Recommender Systems: A Systematic Review Across Classical and LLM-Powered Approaches
Raj Mahmud, Yufeng Wu, Abdullah Bin Sawad, Shlomo Berkovsky, Mukesh Prasad, A. Baki Kocaballi
机构
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School of Computer Science, University of Technology Sydney(技术科技大学计算机科学学院)
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The Applied College, King Abdulaziz University(国王阿卜杜勒阿齐兹大学应用学院)
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Australian Institute of Health Innovation, Macquarie University(麦考瑞大学健康创新研究所)
专题命中
评测与基准
:LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.AI
CommentsAccepted at OzCHI 2025. 23 pages, 1 figure, 5 tables
Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences
Zahra Ashktorab, Michael Desmond, Qian Pan, James M. Johnson, Martin Santillan Cooper, Elizabeth M. Daly, Rahul Nair, Tejaswini Pedapati, Hyo Jin Do, Werner Geyer
专题命中
评测与基准
:LLM(title,abstract);large language model(abstract);language model(abstract)
机构
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Zhejiang University(浙江大学)
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Fudan University(复旦大学)
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OPPO AI Center(OPPO AI中心)
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University of Chinese Academy of Sciences(中国科学院大学)
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Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所)
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The Chinese University of Hong Kong(香港中文大学)
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Tsinghua University(清华大学)
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Shanghai Jiao Tong University(上海交通大学)
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The Hong Kong Polytechnic University(香港理工大学)
专题命中
评测与基准
:LLM(abstract);large language model(abstract);language model(abstract);foundation model(abstract)
机构
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Shanghai Jiao Tong University(上海交通大学)
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Pennsylvania State University(宾夕法尼亚州立大学)
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Microsoft Research(微软研究院)
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National University of Singapore(新加坡国立大学)
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Binghamton University(布ingham顿大学)
专题命中
评测与基准
:large language model(title);language model(title)
Experimental Analysis of Productive Interaction Strategy with ChatGPT: User Study on Function and Project-level Code Generation Tasks
Sangwon Hyun, Hyunjun Kim, Jinhyuk Jang, Hyojin Choi, M. Ali Babar
机构
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Adelaide University(阿德莱德大学)
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Korea Advanced Institute of Science(韩国科学技术院)
专题命中
评测与基准
:LLM(abstract);large language model(abstract);language model(abstract);prompting(abstract)
CommentsThe benchmark repository has not been publicly released yet due to the IP policy in our institutions. If you would like to use the benchmark or collaborate on extension, please contact "dr.sangwon.hyun@gmail.com"
Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR
Fardis Nadimi, Payam Abdisarabshali, Kasra Borazjani, Jacob Chakareski, Seyyedali Hosseinalipour
机构
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University at Buffalo–SUNY(布法罗大学-纽约州立大学)
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Department of Electrical Engineering(电气工程系)
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New Jersey Institute of Technology (NJIT)(新泽西理工学院)
机构
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College of Computer Science, Sichuan University(四川大学计算机学院)
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Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, Chengdu, China(教育部机器学习与产业智能工程研究中心)
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Deep NeuroCognition Lab, I2R and CFAR, Agency for Science, Technology and Research, Singapore(深度神经认知实验室,I2R和CFAR,科技研究局,新加坡)
机构
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College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China(深圳大学计算机科学与软件工程学院)
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Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, 518055, China(视觉对象检测与识别深圳重点实验室)
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Laboratory for Artificial Intelligence in Design, Hong Kong(人工智能设计实验室)
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School of Artificial Intelligence, Shenzhen University, Shenzhen, China(深圳大学人工智能学院)
专题命中
评测与基准
:large language model(abstract);language model(abstract);foundation model(abstract);分类 cs.AI
机构
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Jaypee University of Information Technology(杰伊佩大学信息科技学院)
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CortexTor Labs(CortexTor实验室)
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Amity Center for Artificial Intelligence(阿米蒂人工智能中心)
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Indian Institute of Technology Jodhpur(印度理工学院朱道尔)
专题命中
评测与基准
:LLM(abstract);large language model(abstract);language model(abstract)