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Large Language Models (LLMs) have seen significant use in domains such as natural language processing and computer vision.
Audio set: An ontology and human-labeled dataset for audio events
Jort F Gemmeke, Daniel PW Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R Channing Moore, Manoj Plakal, and Marvin Ritter · 2017
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Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Zuco, a simultaneous eeg and eye-tracking resource for natural sentence reading
Nora Hollenstein, Jonathan Rotsztejn, Marius Troendle, Andreas Pedroni, Ce Zhang, and Nicolas Langer · 2018
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Common voice: A massively-multilingual speech corpus
Rosana Ardila, Megan Branson, Kelly Davis, Michael Henretty, Michael Kohler, Josh Meyer, Reuben Morais, Lindsay Saunders, Francis M Tyers, and Gregor Weber · 2019
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The mtg-jamendo dataset for automatic music tagging
Dmitry Bogdanov, Minz Won, Philip Tovstogan, Alastair Porter, and Xavier Serra · 2019
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Zuco 2.0: A dataset of physiological recordings during natural reading and annotation
Nora Hollenstein, Marius Troendle, Ce Zhang, and Nicolas Langer · 2019
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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Are transformers universal approximators of sequence-to-sequence functions?
Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J Reddi, and Sanjiv Kumar · 2019
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Libri-light: A benchmark for asr with limited or no supervision
Jacob Kahn, Morgane Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, et al · 2020
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The effectiveness of discretization in forecasting: An empirical study on neural time series models
Stephan Rabanser, Tim Januschowski, Valentin Flunkert, David Salinas, and Jan Gasthaus · 2020
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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
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Ptb-xl, a large publicly available electrocardiography dataset
Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, Dieter Kreiseler, Fatima I Lunze, Wojciech Samek, and Tobias Schaeffter · 2020
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Hubert: Self-supervised speech representation learning by masked prediction of hidden units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, Kushal Lakhotia, Ruslan Salakhutdinov, and Abdelrahman Mohamed · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Deepsqa: Understanding sensor data via question answering
Tianwei Xing, Luis Garcia, Federico Cerutti, Lance Kaplan, Alun Preece, and Mani Srivastava · 2021
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Soundstream: An end-to-end neural audio codec
Neil Zeghidour, Alejandro Luebs, Ahmed Omran, Jan Skoglund, and Marco Tagliasacchi · 2021
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Lift: Language-interfaced fine-tuning for non-language machine learning tasks
Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris Papailiopoulos, and Kangwook Lee · 2022
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Wavprompt: Towards few-shot spoken language understanding with frozen language models
Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, and Mark Hasegawa-Johnson · 2022
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Ego4d: Around the world in 3,000 hours of egocentric video
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, et al · 2022
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An empirical exploration of cross-domain alignment between language and electroencephalogram
William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, and Ding Zhao · 2022
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Audiogen: Textually guided audio generation
Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, and Yossi Adi · 2022
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Unified-io: A unified model for vision, language, and multi-modal tasks
Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, and Aniruddha Kembhavi · 2022
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Imu2clip: Multimodal contrastive learning for imu motion sensors from egocentric videos and text
Seungwhan Moon, Andrea Madotto, Zhaojiang Lin, Alireza Dirafzoon, Aparajita Saraf, Amy Bearman, and Babak Damavandi · 2022
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A time series is worth 64 words: Long-term forecasting with transformers
Yuqi Nie, Nam H Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam · 2022
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Open vocabulary electroencephalography-to-text decoding and zero-shot sentiment classification
Zhenhailong Wang and Heng Ji · 2022
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Transformers in time series: A survey
Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, and Liang Sun · 2022
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Promptcast: A new prompt-based learning paradigm for time series forecasting
Hao Xue and Flora D Salim · 2022
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Leveraging language foundation models for human mobility forecasting
Hao Xue, Bhanu Prakash Voutharoja, and Flora D Salim · 2022
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Musiclm: Generating music from text
Andrea Agostinelli, Timo I Denk, Zalán Borsos, Jesse Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, et al · 2023
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Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al · 2023
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Audiolm: a language modeling approach to audio generation
Zalán Borsos, Raphaël Marinier, Damien Vincent, Eugene Kharitonov, Olivier Pietquin, Matt Sharifi, Dominik Roblek, Olivier Teboul, David Grangier, Marco Tagliasacchi, et al · 2023
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Jolt: Jointly learned representations of language and time-series
Yifu Cai, Mononito Goswami, Arjun Choudhry, Arvind Srinivasan, and Artur Dubrawski · 2023
Cited alongside, same era.
Tempo: Prompt-based generative pre-trained transformer for time series forecasting
Defu Cao, Furong Jia, Sercan O Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, and Yan Liu · 2023
Cited alongside, same era.
Llm4ts: Two-stage fine-tuning for time-series forecasting with pre-trained llms
Ching Chang, Wen-Chih Peng, and Tien-Fu Chen · 2023
Cited alongside, same era.
Yakun Chen, Xianzhi Wang, and Guandong Xu · 2023
Cited alongside, same era.
Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2023
OpenAI · 2023
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Toolllm: Facilitating large language models to master 16000+ real-world apis
Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, et al · 2023
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Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael Rosenberg, Emerson Liu, Douglas Weber, and Ding Zhao · 2023
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Lag-llama: Towards foundation models for time series forecasting
Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Arian Khorasani, George Adamopoulos, Rishika Bhagwatkar, Marin Biloš, Hena Ghonia, Nadhir Vincent Hassen, Anderson Schneider, et al · 2023
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Cited alongside, same era.
Text-to-ecg: 12-lead electrocardiogram synthesis conditioned on clinical text reports
Hyunseung Chung, Jiho Kim, Joon-myoung Kwon, Ki-Hyun Jeon, Min Sung Lee, and Edward Choi · 2023
Cited alongside, same era.
Yujie Ding, Shuai Jia, Tianyi Ma, Bingcheng Mao, Xiuze Zhou, Liuliu Li, and Dongming Han · 2023
Cited alongside, same era.
Dewave: Discrete encoding of eeg waves for eeg to text translation
Yiqun Duan, Charles Zhou, Zhen Wang, Yu-Kai Wang, and Chin-teng Lin · 2023
Cited alongside, same era.
Imagebind: One embedding space to bind them all
Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, and Ishan Misra · 2023
Cited alongside, same era.
Yuan Gong, Hongyin Luo, Alexander H Liu, Leonid Karlinsky, and James Glass · 2023
Cited alongside, same era.
Moritz A Graule and Volkan Isler · 2023
Cited alongside, same era.
Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives
Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, et al · 2023
Cited alongside, same era.
Paul K Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, Ankur Bapna, Zalán Borsos, Félix de Chaumont Quitry, Peter Chen, Dalia El Badawy, Wei Han, Eugene Kharitonov, et al · 2023
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How to bridge the gap between modalities: A comprehensive survey on multimodal large language model
Shezheng Song, Xiaopeng Li, and Shasha Li · 2023
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Dimitris Spathis and Fahim Kawsar · 2023
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Pandagpt: One model to instruction-follow them all
Yixuan Su, Tian Lan, Huayang Li, Jialu Xu, Yan Wang, and Deng Cai · 2023
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Test: Text prototype aligned embedding to activate llm’s ability for time series
Chenxi Sun, Yaliang Li, Hongyan Li, and Shenda Hong · 2023
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Time series modeling at scale: A universal representation across tasks and domains
Sabera J Talukder and Georgia Gkioxari · 2023
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Salmonn: Towards generic hearing abilities for large language models
Changli Tang, Wenyi Yu, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, and Chao Zhang · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Viola: Unified codec language models for speech recognition, synthesis, and translation
Tianrui Wang, Long Zhou, Ziqiang Zhang, Yu Wu, Shujie Liu, Yashesh Gaur, Zhuo Chen, Jinyu Li, and Furu Wei · 2023
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Where would i go next? large language models as human mobility predictors
Xinglei Wang, Meng Fang, Zichao Zeng, and Tao Cheng · 2023
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Leveraging vision-language models for granular market change prediction
Christopher Wimmer and Navid Rekabsaz · 2023
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Bloomberggpt: A large language model for finance
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, and Gideon Mann · 2023
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Qianqian Xie, Weiguang Han, Yanzhao Lai, Min Peng, and Jimin Huang · 2023
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Pixiu: A large language model, instruction data and evaluation benchmark for finance
Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, and Jimin Huang · 2023
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Utilizing language models for energy load forecasting
Hao Xue and Flora D Salim · 2023
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Uniaudio: An audio foundation model toward universal audio generation
Dongchao Yang, Jinchuan Tian, Xu Tan, Rongjie Huang, Songxiang Liu, Xuankai Chang, Jiatong Shi, Sheng Zhao, Jiang Bian, Xixin Wu, et al · 2023
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Temporal data meets llm–explainable financial time series forecasting
Xinli Yu, Zheng Chen, Yuan Ling, Shujing Dong, Zongyi Liu, and Yanbin Lu · 2023
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Speechgpt: Empowering large language models with intrinsic cross-modal conversational abilities
Dong Zhang, Shimin Li, Xin Zhang, Jun Zhan, Pengyu Wang, Yaqian Zhou, and Xipeng Qiu · 2023
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T2m-gpt: Generating human motion from textual descriptions with discrete representations
Jianrong Zhang, Yangsong Zhang, Xiaodong Cun, Shaoli Huang, Yong Zhang, Hongwei Zhao, Hongtao Lu, and Xi Shen · 2023
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Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework
Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, and Jingbo Shang · 2023
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Unleashing the power of shared label structures for human activity recognition
Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang, Dezhi Hong, Rajesh K. Gupta, and Jingbo Shang · 2023
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Insight miner: A time series analysis dataset for cross-domain alignment with natural language
Yunkai Zhang, Yawen Zhang, Ming Zheng, Kezhen Chen, Chongyang Gao, Ruian Ge, Siyuan Teng, Amine Jelloul, Jinmeng Rao, Xiaoyuan Guo, et al · 2023
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Large language models for spatial trajectory patterns mining
Zheng Zhang, Hossein Amiri, Zhenke Liu, Andreas Züfle, and Liang Zhao · 2023
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Language-guided traffic simulation via scene-level diffusion
Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, and Baishakhi Ray · 2023
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One fits all: Power general time series analysis by pretrained lm
Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, and Rong Jin · 2023
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Tent: Connect language models with iot sensors for zero-shot activity recognition
Yunjiao Zhou, Jianfei Yang, Han Zou, and Lihua Xie · 2023
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Chronos: Learning the language of time series
Abdul Fatir Ansari, Lorenzo Stella, Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, et al · 2024
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Spatial-temporal large language model for traffic prediction
Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, and Rui Zhao · 2024
Closest in time.