Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2084 | 2023 |
Gemma: Open models based on gemini research and technology G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... arXiv preprint arXiv:2403.08295, 2024 | 682 | 2024 |
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 617 | 2024 |
Training Socially Aligned Language Models in Simulated Human Society R Liu, R Yang, C Jia, G Zhang, D Zhou, AM Dai, D Yang, S Vosoughi ICLR 2024, 2023 | 130* | 2023 |
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation R Liu, G Xu, C Jia, W Ma, L Wang, S Vosoughi EMNLP 2020, 2020 | 117 | 2020 |
Mitigating Political Bias in Language Models Through Reinforced Calibration R Liu, C Jia, J Wei, G Xu, L Wang, S Vosoughi 🏆 AAAI 2021 Outstanding Paper Award, 2021 | 109 | 2021 |
Mind's Eye: Grounded Language Model Reasoning through Simulation R Liu, J Wei, SS Gu, TY Wu, S Vosoughi, C Cui, D Zhou, AM Dai ICLR 2023, 2022 | 82 | 2022 |
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training Y Li, R Yuan, G Zhang, Y Ma, X Chen, H Yin, C Lin, A Ragni, E Benetos, ... ICLR 2024, 2023 | 78 | 2023 |
Exploring collaboration mechanisms for llm agents: A social psychology view J Zhang, X Xu, R Liu, H Bryan, S Deng ACL 2024, 2023 | 72 | 2023 |
Quantifying and alleviating political bias in language models R Liu, C Jia, J Wei, G Xu, S Vosoughi Artificial Intelligence 304, 103654, 2022 | 67 | 2022 |
Best practices and lessons learned on synthetic data for language models R Liu, J Wei, F Liu, C Si, Y Zhang, J Rao, S Zheng, D Peng, D Yang, ... arXiv preprint arXiv:2404.07503, 2024 | 57* | 2024 |
Interactive natural language processing Z Wang, G Zhang, K Yang, N Shi, W Zhou, S Hao, G Xiong, Y Li, MY Sim, ... arXiv preprint arXiv:2305.13246, 2023 | 51 | 2023 |
Aligning generative language models with human values R Liu, G Zhang, X Feng, S Vosoughi NAACL 2022, 2022 | 46 | 2022 |
Reconstructing human joint motion with computational fabrics R Liu, Q Shao, S Wang, C Ru, D Balkcom, X Zhou Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 44 | 2019 |
A transformer-based framework for neutralizing and reversing the political polarity of news articles R Liu, C Jia, S Vosoughi Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), 1-26, 2021 | 32 | 2021 |
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits R Liu, C Jia, G Zhang, T Liu, S Vosoughi NeurlPS 2022, 2023 | 30 | 2023 |
ChatMusician: Understanding and Generating Music Intrinsically with LLM R Yuan, H Lin, Y Wang, Z Tian, S Wu, T Shen, G Zhang, Y Wu, C Liu, ... ACL 2024, 2024 | 29 | 2024 |
Knowledge Infused Decoding R Liu, G Zheng, S Gupta, R Gaonkar, C Gao, S Vosoughi, M Shokouhi, ... ICLR 2022, 2021 | 29 | 2021 |
An empirical survey of unsupervised text representation methods on twitter data L Wang, C Gao, J Wei, W Ma, R Liu, S Vosoughi EMNLP 2020, 2020 | 28 | 2020 |
Design2Code: How Far Are We From Automating Front-End Engineering? C Si, Y Zhang, Z Yang, R Liu, D Yang arXiv preprint arXiv:2403.03163, 2024 | 27 | 2024 |