Fetching the paper…
Reading the bibliography…
Natural language interaction with sensing systems is crucial for addressing users' personal concerns and providing health-related insights into their daily lives.
Questions on Life Satisfaction (FLZM): a short questionnaire for assessing subjective quality of life
Gerhard Henrich and Peter Herschbach. 2000 · 2000
Earlier work this paper cites.
Efficient retrieval of life log based on context and content. In Proceedings of the the 1st ACM workshop on Continuous archival and retrieval of personal experiences . 22–31
Kiyoharu Aizawa, Datchakorn Tancharoen, Shinya Kawasaki, and Toshihiko Yamasaki. 2004 · 2004
Earlier work this paper cites.
Design and evaluation of lifelog mashup platform with NoSQL database. In Proceedings of International Conference on Information Integration and Web-based Applications & Services . 133–139
Kohei Takahashi, Shinsuke Matsumoto, Sachio Saiki, and Masahide Nakamura. 2013 · 2013
Earlier work this paper cites.
A Lifelog Browser for Visualization and Search of Mobile Everyday-Life
Keum-Sung Hwang and Sung-Bae Cho. 2014 · 2014
Earlier work this paper cites.
Recognizing detailed human context in the wild from smartphones and smartwatches
Yonatan Vaizman, Katherine Ellis, and Gert Lanckriet. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
A Vaswani. 2017 · 2017
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Earlier work this paper cites.
Extrasensory app: Data collection in-the-wild with rich user interface to self-report behavior. In Proceedings of the 2018 CHI conference on human factors in computing systems . 1–12
Yonatan Vaizman, Katherine Ellis, Gert Lanckriet, and Nadir Weibel. 2018 · 2018
Earlier work this paper cites.
Question Answering as an Automatic Evaluation Metric for News Article Summarization. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) . 3938–3948
Matan Eyal, Tal Baumel, and Michael Elhadad. [n. d.] · 2019
Earlier work this paper cites.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke et al · 2019
Earlier work this paper cites.
Daily Journals: Extracting Insights for Well-being. In Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare . 305–315
Deepa Tavargeri Adiga, Maitry Bhavsar, Unnati Palan, and Sachin Patel. 2020 · 2020
Earlier work this paper cites.
Supervised contrastive learning
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, and Dilip Krishnan. 2020 · 2020
Earlier work this paper cites.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
Earlier work this paper cites.
Smart home and internet of things: A bibliometric study
Wonyoung Choi, Jisu Kim, SangEun Lee, and Eunil Park. 2021 · 2021
Earlier work this paper cites.
Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision. In International conference on machine learning . PMLR, 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Earlier work this paper cites.
DeepSQA: Understanding Sensor Data via Question Answering. In Proceedings of the International Conference on Internet-of-Things Design and Implementation . 106–118
Tianwei Xing, Luis Garcia, Federico Cerutti, Lance Kaplan, Alun Preece, and Mani Srivastava. 2021 · 2021
Earlier work this paper cites.
Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
Earlier work this paper cites.
Learn to explain: Multimodal reasoning via thought chains for science question answering
Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, and Ashwin Kalyan. 2022 · 2022
Earlier work this paper cites.
Ai therapist for daily functioning assessment and intervention using smart home devices. In Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems . 764–765
Jingping Nie, Minghui Zhao, Stephen Xia, Xinghua Sun, Hanya Shao, Yuang Fan, Matthias Preindl, and Xiaofan Jiang. 2022 · 2022
Earlier work this paper cites.
Cosmo: contrastive fusion learning with small data for multimodal human activity recognition. In Proceedings of the 28th Annual International Conference on Mobile Computing And Networking . 324–337
Xiaomin Ouyang, Xian Shuai, Jiayu Zhou, Ivy Wang Shi, Zhiyuan Xie, Guoliang Xing, and Jianwei Huang. 2022 · 2022
Earlier work this paper cites.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Cited alongside, same era.
Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E. Gonzalez, Ion Stoica, and Eric P. Xing. 2023 · 2023
Cited alongside, same era.
Gpt4aigchip: Towards next-generation ai accelerator design automation via large language models. In 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD) . IEEE, 1–9
Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, and Yingyan Celine Lin. 2023 · 2023
Cited alongside, same era.
Mamba: Linear-time sequence modeling with selective state spaces
Albert Gu and Tri Dao. 2023 · 2023
Cited alongside, same era.
MindGuard: Towards Accessible and Sitgma-free Mental Health First Aid via Edge LLM
Sijie Ji, Xinzhe Zheng, Jiawei Sun, Renqi Chen, Wei Gao, and Mani Srivastava. 2024b · 2024
Later among the works it cites.
Hargpt: Are llms zero-shot human activity recognizers?. In 2024 IEEE International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys) . IEEE, 38–43
Sijie Ji, Xinzhe Zheng, and Chenshu Wu. 2024a · 2024
Later among the works it cites.
Health-llm: Large language models for health prediction via wearable sensor data
Yubin Kim, Xuhai Xu, Daniel McDuff, Cynthia Breazeal, and Hae Won Park. 2024 · 2024
Later among the works it cites.
Long-context llms struggle with long in-context learning
Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, and Wenhu Chen. 2024 · 2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, and Xiangyu Yue. 2023 · 2023
Cited alongside, same era.
Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, et al · 2023
Cited alongside, same era.
Large language models are few-shot health learners
Xin Liu, Daniel McDuff, Geza Kovacs, Isaac Galatzer-Levy, Jacob Sunshine, Jiening Zhan, Ming-Zher Poh, Shun Liao, Paolo Di Achille, and Shwetak Patel. 2023 · 2023
Cited alongside, same era.
Anymal: An efficient and scalable any-modality augmented language model
Seungwhan Moon, Andrea Madotto, Zhaojiang Lin, Tushar Nagarajan, Matt Smith, Shashank Jain, Chun-Fu Yeh, Prakash Murugesan, Peyman Heidari, Yue Liu, et al · 2023
Cited alongside, same era.
IMU2CLIP: Language-grounded Motion Sensor Translation with Multimodal Contrastive Learning. In Findings of the Association for Computational Linguistics: EMNLP 2023 . 13246–13253
Seungwhan Moon, Andrea Madotto, Zhaojiang Lin, Aparajita Saraf, Amy Bearman, and Babak Damavandi. 2023b · 2023
Cited alongside, same era.
Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training. In Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services . 530–543
Xiaomin Ouyang, Zhiyuan Xie, Heming Fu, Sitong Cheng, Li Pan, Neiwen Ling, Guoliang Xing, Jiayu Zhou, and Jianwei Huang. 2023 · 2023
Cited alongside, same era.
Prompting large language models with answer heuristics for knowledge-based visual question answering. In Proceedings of the IEEE/CVF Conference on computer vision and pattern recognition . 14974–14983
Zhenwei Shao, Zhou Yu, Meng Wang, and Jun Yu. 2023 · 2023
Cited alongside, same era.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
Cited alongside, same era.
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration. In MLSys
Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Wei-Ming Chen, Wei-Chen Wang, Guangxuan Xiao, Xingyu Dang, Chuang Gan, and Song Han. 2024 · 2024
Later among the works it cites.
Mobilellm: Optimizing sub-billion parameter language models for on-device use cases
Zechun Liu, Changsheng Zhao, Forrest Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, et al · 2024
Later among the works it cites.
Iot-lm: Large multisensory language models for the internet of things
Shentong Mo, Russ Salakhutdinov, Louis-Philippe Morency, and Paul Pu Liang. 2024 · 2024
Later among the works it cites.
LLMSense: Harnessing LLMs for high-level reasoning over spatiotemporal sensor traces. In 2024 IEEE 3rd Workshop on Machine Learning on Edge in Sensor Systems (SenSys-ML) . IEEE, 9–14
Xiaomin Ouyang and Mani Srivastava. 2024 · 2024
Later among the works it cites.
Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognition. In Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems . 436–449
Yuxuan Weng, Guoquan Wu, Tianyue Zheng, Yanbing Yang, and Jun Luo. 2024 · 2024
Later among the works it cites.
AutoLife: Automatic Life Journaling with Smartphones and LLMs
Huatao Xu, Panrong Tong, Mo Li, and Mani Srivastava. 2024b · 2024
Later among the works it cites.
Bufang Yang, Siyang Jiang, Lilin Xu, Kaiwei Liu, Hai Li, Guoliang Xing, Hongkai Chen, Xiaofan Jiang, and Zhenyu Yan. 2024 · 2024
Later among the works it cites.
By my eyes: Grounding multimodal large language models with sensor data via visual prompting
Hyungjun Yoon, Biniyam Aschalew Tolera, Taesik Gong, Kimin Lee, and Sung-Ju Lee. 2024 · 2024
Later among the works it cites.
Retrieval-augmented generation for ai-generated content: A survey
Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, and Bin Cui. 2024 · 2024
Later among the works it cites.
Xuanhe Zhou, Xinyang Zhao, and Guoliang Li. 2024 · 2024
Later among the works it cites.
LiteMoE: Customizing On-device LLM Serving via Proxy Submodel Tuning. In Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems . 521–534
Yan Zhuang, Zhenzhe Zheng, Fan Wu, and Guihai Chen. 2024 · 2024
Later among the works it cites.
DeepSeek
2025 · 2025
Closest in time.
Jetson Orin NX Module
2025 · 2025
Closest in time.
NVIDIA A100 Tensor Core GPU
2025 · 2025
Closest in time.
OpenAI o3-mini
2025 · 2025
Closest in time.
ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 39. 16046–16054
Ranak Roy Chowdhury, Ritvik Kapila, Ameya Panse, Xiyuan Zhang, Diyan Teng, Rashmi Kulkarni, Dezhi Hong, Rajesh K Gupta, and Jingbo Shang. 2025 · 2025
Closest in time.
SensorQA: A Question Answering Benchmark for Daily-Life Monitoring
Benjamin Reichman, Xiaofan Yu, Lanxiang Hu, Jack Truxal, Atishay Jain, Rushil Chandrupatla, Tajana Šimunić Rosing, and Larry Heck. 2025 · 2025
Closest in time.