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Benchmark plays a pivotal role in assessing the advancements of large language models (LLMs).
Gansynth: Adversarial neural audio synthesis
Jesse Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, and Adam Roberts. 2019 · 1902
Earlier work this paper cites.
Learning style-aware symbolic music representations by adversarial autoencoders
Andrea Valenti, Antonio Carta, and Davide Bacciu. 2020 · 2001
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Jukebox: A generative model for music
Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, and Ilya Sutskever. 2020 · 2005
Earlier work this paper cites.
Measuring massive multitask language understanding
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt. 2020 · 2009
Earlier work this paper cites.
Diffwave: A versatile diffusion model for audio synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, and Bryan Catanzaro. 2020 · 2009
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Ten years of mirex: reflections, challenges and opportunities
J Stephen Downie, Xiao Hu, Jin Ha Lee, Kahyun Choi, Sally Jo Cunningham, and Yun Hao. 2014 · 2014
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
From context to concept: exploring semantic relationships in music with word2vec
Ching-Hua Chuan, Kat Agres, and Dorien Herremans. 2020 · 2020
Earlier work this paper cites.
Pirhdy: Learning pitch-, rhythm-, and dynamics-aware embeddings for symbolic music
Hongru Liang, Wenqiang Lei, Paul Yaozhu Chan, Zhenglu Yang, Maosong Sun, and Tat-Seng Chua. 2020 · 2020
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Gacela: A generative adversarial context encoder for long audio inpainting of music
Andres Marafioti, Piotr Majdak, Nicki Holighaus, and Nathanaël Perraudin. 2020 · 2020
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Winogrande: An adversarial winograd schema challenge at scale
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. 2020 · 2020
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Semantics-aware BERT for language understanding
Zhuosheng Zhang, Yuwei Wu, Hai Zhao, Zuchao Li, Shuailiang Zhang, Xi Zhou, and Xiang Zhou. 2020 · 2020
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Program synthesis with large language models
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le, et al. 2021 · 2021
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Midibert-piano: large-scale pre-training for symbolic music understanding
Yi-Hui Chou, I Chen, Chin-Jui Chang, Joann Ching, Yi-Hsuan Yang, et al. 2021 · 2021
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Training verifiers to solve math word problems
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, et al. 2021 · 2021
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Catch-a-waveform: Learning to generate audio from a single short example
Gal Greshler, Tamar Shaham, and Tomer Michaeli. 2021 · 2021
Cited alongside, same era.
Measuring mathematical problem solving with the math dataset
Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, and Jacob Steinhardt. 2021 · 2021
Cited alongside, same era.
MusicBERT: Symbolic music understanding with large-scale pre-training
Mingliang Zeng, Xu Tan, Rui Wang, Zeqian Ju, Tao Qin, and Tie-Yan Liu. 2021 · 2021
Cited alongside, same era.
Introducing claude
Anthropic. 2022 · 2022
Cited alongside, same era.
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 · 2022
Cited alongside, same era.
Lawbench: Benchmarking legal knowledge of large language models
Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Songyang Zhang, Kai Chen, Zongwen Shen, and Jidong Ge. 2023 · 2023
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Llark: A multimodal foundation model for music
Josh Gardner, Simon Durand, Daniel Stoller, and Rachel M Bittner. 2023 · 2023
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C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models
Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, and Junxian He. 2023 · 2023
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M 2 UGen: Multi-modal music understanding and generation with the power of large language models
Atin Sakkeer Hussain, Shansong Liu, Chenshuo Sun, and Ying Shan. 2023 · 2023
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Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, et al. 2022 · 2022
Cited alongside, same era.
Crosslingual generalization through multitask finetuning
Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M Saiful Bari, Sheng Shen, Zheng-Xin Yong, Hailey Schoelkopf, et al. 2022 · 2022
Cited alongside, same era.
Chatgpt: Optimizing language models for dialogue
OpenAI. 2022 · 2022
Cited alongside, same era.
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, et al. 2022 · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
Cited alongside, same era.
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 · 2023
Cited alongside, same era.
Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, et al. 2023 · 2023
Cited alongside, same era.
Peiling Lu, Xin Xu, Chenfei Kang, Botao Yu, Chengyi Xing, Xu Tan, and Jiang Bian. 2023 · 2023
Later among the works it cites.
Macaw-llm: Multi-modal language modeling with image, audio, video, and text integration
Chenyang Lyu, Minghao Wu, Longyue Wang, Xinting Huang, Bingshuai Liu, Zefeng Du, Shuming Shi, and Zhaopeng Tu. 2023 · 2023
Later among the works it cites.
ChatGLM2
THUDM. 2023 · 2023
Later among the works it cites.
N-gram unsupervised compoundation and feature injection for better symbolic music understanding
Jinhao Tian, Zuchao Li, Jiajia Li, and Ping Wang. 2023 · 2023
Later among the works it cites.
Clamp: Contrastive language-music pre-training for cross-modal symbolic music information retrieval
Shangda Wu, Dingyao Yu, Xu Tan, and Maosong Sun. 2023 · 2023
Later among the works it cites.
Diffsound: Discrete diffusion model for text-to-sound generation
Dongchao Yang, Jianwei Yu, Helin Wang, Wen Wang, Chao Weng, Yuexian Zou, and Dong Yu. 2023 · 2023
Later among the works it cites.
Arcmmlu: A library and information science benchmark for large language models
Shitou Zhang, Zuchao Li, Xingshen Liu, Liming Yang, and Ping Wang. 2023 · 2023
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Xuanyuan 2.0: A large chinese financial chat model with hundreds of billions parameters
Xuanyu Zhang and Qing Yang. 2023 · 2023
Later among the works it cites.
Albert Q Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al. 2024 · 2024
Closest in time.
Music understanding llama: Advancing text-to-music generation with question answering and captioning
Shansong Liu, Atin Sakkeer Hussain, Chenshuo Sun, and Ying Shan. 2024 · 2024
Closest in time.
Yi: Open foundation models by 01. ai
Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, et al. 2024 · 2024
Closest in time.