Internlm: A multilingual language model with progressively enhanced capabilities ILM Team
https://github. com/InternLM/InternLM, 2023
194 2023 Anygpt: Unified multimodal llm with discrete sequence modeling J Zhan, J Dai, J Ye, Y Zhou, D Zhang, Z Liu, X Zhang, R Yuan, G Zhang, ...
ACL 2024, 2024
94 2024 Moss: An open conversational large language model T Sun, X Zhang, Z He, P Li, Q Cheng, X Liu, H Yan, Y Shao, Q Tang, ...
Machine Intelligence Research 21 (5), 888-905, 2024
89 * 2024 BBTv2: Towards a gradient-free future with large language models T Sun, Z He, H Qian, Y Zhou, X Huang, X Qiu
EMNLP 2022, 2022
83 2022 KNN-contrastive learning for out-of-domain intent classification Y Zhou, P Liu, X Qiu
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
77 2022 Early exiting with ensemble internal classifiers T Sun, Y Zhou, X Liu, X Zhang, H Jiang, Z Cao, X Huang, X Qiu
arXiv preprint arXiv:2105.13792, 2021
36 2021 Data mixing laws: Optimizing data mixtures by predicting language modeling performance J Ye, P Liu, T Sun, Y Zhou, J Zhan, X Qiu
arXiv preprint arXiv:2403.16952, 2024
27 2024 Mention recommendation in twitter with cooperative multi-agent reinforcement learning T Gui, P Liu, Q Zhang, L Zhu, M Peng, Y Zhou, X Huang
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
23 2019 A probabilistic framework for discovering new intents Y Zhou, G Quan, X Qiu
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
15 * 2023 Utc-ie: A unified token-pair classification architecture for information extraction H Yan, Y Sun, X Li, Y Zhou, XJ Huang, X Qiu
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
13 2023 Scaling of search and learning: A roadmap to reproduce o1 from reinforcement learning perspective Z Zeng, Q Cheng, Z Yin, B Wang, S Li, Y Zhou, Q Guo, X Huang, X Qiu
arXiv preprint arXiv:2412.14135, 2024
12 2024 Two birds one stone: Dynamic ensemble for ood intent classification Y Zhou, J Yang, P Wang, X Qiu
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
11 2023 Llama scope: Extracting millions of features from llama-3.1-8b with sparse autoencoders Z He, W Shu, X Ge, L Chen, J Wang, Y Zhou, F Liu, Q Guo, X Huang, ...
arXiv preprint arXiv:2410.20526, 2024
4 2024 Code Needs Comments: Enhancing Code LLMs with Comment Augmentation D Song, H Guo, Y Zhou, S Xing, Y Wang, Z Song, W Zhang, Q Guo, H Yan, ...
ACL 2024 Findings, 2024
4 2024 Memorize step by step: Efficient long-context prefilling with incremental memory and decremental chunk Z Zeng, Q Guo, X Liu, Z Yin, W Shu, M Huang, B Wang, Y Zhou, L Li, Q Liu, ...
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
3 2024 Denosent: A denoising objective for self-supervised sentence representation learning X Wang, J He, P Wang, Y Zhou, T Sun, X Qiu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 19180 …, 2024
3 2024 What dense graph do you need for self-attention? Y Wang, CT Lee, Q Guo, Z Yin, Y Zhou, X Huang, X Qiu
International Conference on Machine Learning, 22752-22768, 2022
3 2022 Towards universality: Studying mechanistic similarity across language model architectures J Wang, X Ge, W Shu, Q Tang, Y Zhou, Z He, X Qiu
arXiv preprint arXiv:2410.06672, 2024
2 2024 Turn Waste into Worth: Rectifying Top- Z Zeng, Q Guo, Z Fei, Z Yin, Y Zhou, L Li, T Sun, H Yan, D Lin, X Qiu
EMNLP 2024, 2024
2 2024 Towards open environment intent prediction Y Zhou, J Hong, X Qiu
Findings of the Association for Computational Linguistics: ACL 2023, 2226-2240, 2023
2 2023 