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 | 2464 | 2023 |
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 972 | 2024 |
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 | 909 | 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 | 146* | 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 | 121 | 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 | 112 | 2021 |
Exploring collaboration mechanisms for llm agents: A social psychology view J Zhang, X Xu, R Liu, H Bryan, S Deng ACL 2024, 2023 | 94 | 2023 |
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 | 93 | 2023 |
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 | 86 | 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 | 82* | 2024 |
Quantifying and alleviating political bias in language models R Liu, C Jia, J Wei, G Xu, S Vosoughi Artificial Intelligence 304, 103654, 2022 | 79 | 2022 |
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 | 55 | 2023 |
Aligning generative language models with human values R Liu, G Zhang, X Feng, S Vosoughi NAACL 2022, 2022 | 51 | 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 | 46 | 2019 |
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 | 34 | 2024 |
Higher layers need more lora experts C Gao, K Chen, J Rao, B Sun, R Liu, D Peng, Y Zhang, X Guo, J Yang, ... arXiv preprint arXiv:2402.08562, 2024 | 33 | 2024 |
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 | 33 | 2023 |
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 | 33 | 2021 |
Long-form factuality in large language models J Wei, C Yang, X Song, Y Lu, N Hu, D Tran, D Peng, R Liu, D Huang, ... NeurlPS 2024, 2024 | 32* | 2024 |
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 | 31 | 2024 |