Reinforced Strategy Optimization for Conversational Recommender Systems via Network-of-Experts
Xiaoyan Zhao, Ming Yan, Yang Zhang, Yang Deng, Jian Wang, Fengbin Zhu, Yilun Qiu, Hong Cheng, Tat-Seng Chua
机构
*
The Chinese University of Hong Kong(香港中文大学)
;
University of Science and Technology of China(中国科学技术大学)
;
National University of Singapore(新加坡国立大学)
;
Singapore Management University(新加坡管理学院)
;
The Hong Kong Polytechnic University(香港理工大学)
专题命中
推理与问题求解
:LLM(abstract);large language model(abstract);language model(abstract);分类 cs.CL
机构
*
The Chinese University of Hong Kong(香港中文大学)
;
HUAWEI Noah’s Ark Lab(华为诺亚实验室)
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Southeast University(东南大学)
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HUAWEI Hong Kong Research Center(华为香港研究中心)
专题命中
推理与问题求解
:large language model(abstract);language model(abstract);small language model(abstract);分类 cs.AI
EH-Benchmark Ophthalmic Hallucination Benchmark and Agent-Driven Top-Down Traceable Reasoning Workflow
Xiaoyu Pan, Yang Bai, Ke Zou, Yang Zhou, Jun Zhou, Huazhu Fu, Yih-Chung Tham, Yong Liu
机构
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Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR)(高性能计算研究所,科技研究局(A*STAR))
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Centre for Innovation and Precision Eye Health(创新与精准眼健康中心)
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Department of Ophthalmology, NUHS Tower Block, Level 7, 1E Kent Ridge Road, Singapore, 119228(眼科部,NUHS塔楼7层,1E Kent Ridge Road,新加坡,119228)
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Singapore Eye Research Institute, Singapore National Eye Centre, 20 College Road, Singapore, 169856(新加坡眼研究 institute,新加坡国家眼科中心,20 College Road,新加坡,169856)
专题命中
推理与问题求解
:large language model(abstract);language model(abstract);分类 cs.CL、cs.AI
机构
*
Peking University(北京大学)
;
Hong Kong University of Science and Technology(香港科学与技术大学)
;
Chinese University of Hong Kong(香港中文大学)
;
University of California, Santa Barbara(加州大学圣芭芭拉分校)
ConciseHint: Boosting Efficient Reasoning via Continuous Concise Hints during Generation
Siao Tang, Xinyin Ma, Gongfan Fang, Xinchao Wang
机构
*
National University of Singapore(新加坡国立大学)
专题命中
推理与问题求解
:prompting(abstract);分类 cs.CL、cs.AI
CommentsCompare with more baselines, add more in-depth analysis, and re-evaluate the GPQA-D benchmark. Codes are available at https://github.com/tsa18/ConciseHint
TAMA: Tool-Augmented Multimodal Agent for Procedural Activity Understanding
Kimihiro Hasegawa, Wiradee Imrattanatrai, Masaki Asada, Ken Fukuda, Teruko Mitamura
机构
*
Language Technologies Institute, Carnegie Mellon University(卡内基梅隆大学语言技术研究所)
;
National Institute of Advanced Industrial Science and Technology (AIST)(国家先进工业科学与技术研究院)
Learning Compact Representations of LLM Abilities via Item Response Theory
Jianhao Chen, Chenxu Wang, Gengrui Zhang, Peng Ye, Lei Bai, Wei Hu, Yuzhong Qu, Shuyue Hu
机构
*
State Key Laboratory for Novel Software Technology, Nanjing University(南京大学新型软件技术国家重点实验室)
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Shanghai Artificial Intelligence Laboratory(上海人工智能实验室)
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Fudan University(复旦大学)
;
Department of Psychology, University of Southern California(美国南加州大学心理学系)
专题命中
评测与基准
:LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.AI
From latent factors to language: a user study on LLM-generated explanations for an inherently interpretable matrix-based recommender system
Maxime Manderlier, Fabian Lecron, Olivier Vu Thanh, Nicolas Gillis
机构
*
Department of Technological Innovation Management, Faculty of Engineering, University of Mons (UMONS), Mons, Belgium(蒙斯大学工程学院技术创新管理系)
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Department of Mathematics and Operational Research, Faculty of Engineering, University of Mons (UMONS), Mons, Belgium(蒙斯大学工程学院数学与运筹学系)
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Department of Mathematics(数学系)
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Operational Research, Faculty of Engineering, University of Mons (UMONS), Mons, Belgium(运筹学系)
专题命中
评测与基准
:LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.AI
Journal refIn Proceedings of the 12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2025) co-located with 19th ACM Conference on Recommender Systems (RecSys 2025)