| BoB: BERT over BERT for training persona-based dialogue models from limited personalized data H Song, Y Wang, K Zhang, WN Zhang, T Liu ACL 2021, 2021 | 136 | 2021 |
| PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning X Zhu, B Qi, K Zhang, X Long, Z Lin, B Zhou NAACL 2024, 2023 | 41* | 2023 |
| Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation B Qi*, K Zhang*, K Tian, H Li, ZR Chen, S Zeng, E Hua, H Jinfang, B Zhou COLM 2024, 2024 | 33* | 2024 |
| Generative Multi-Modal Knowledge Retrieval with Large Language Models X Long, J Zeng, F Meng, Z Ma, K Zhang, B Zhou, J Zhou AAAI 2024, 2024 | 26 | 2024 |
| Ultramedical: Building specialized generalists in biomedicine K Zhang, S Zeng, E Hua, N Ding, ZR Chen, Z Ma, H Li, G Cui, B Qi, X Zhu, ... NeurIPS 2024 D&B Track, 2024 | 17 | 2024 |
| CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following K Zhang, J Wang, E Hua, B Qi, N Ding, B Zhou ACL 2024, 2024 | 9 | 2024 |
| Free Process Rewards without Process Labels L Yuan, W Li, H Chen, G Cui, N Ding, K Zhang, B Zhou, Z Liu, H Peng Preprint, 2024 | 8 | 2024 |
| A static and dynamic attention framework for multi turn dialogue generation W Zhang, Y Cui, K Zhang, Y Wang, Q Zhu, L Li, T Liu ACM Transactions on Information Systems 41 (1), 1-30, 2023 | 8 | 2023 |
| Process reinforcement through implicit rewards G Cui, L Yuan, Z Wang, H Wang, W Li, B He, Y Fan, T Yu, Q Xu, W Chen, ... Preprint, 2025 | 6 | 2025 |
| Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing B Qi, P Li, F Li, J Gao, K Zhang, B Zhou Preprint, 2024 | 6 | 2024 |
| Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices Z Ma, Y Zhang, G Jia, L Zhao, Y Ma, M Ma, G Liu, K Zhang, J Li, B Zhou Preprint, 2024 | 4 | 2024 |
| Towards Building Specialized Generalist AI with System 1 and System 2 Fusion K Zhang, B Qi, B Zhou Preprint, 2024 | 4 | 2024 |
| Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding K Zhang, J Wang, N Ding, B Qi, E Hua, X Lv, B Zhou Preprint, 2024 | 4 | 2024 |
| Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process E Hua, B Qi, K Zhang, Y Yu, N Ding, X Lv, K Tian, B Zhou Preprint, 2024 | 4* | 2024 |
| A stack-propagation framework for low-resource personalized dialogue generation H Song, WN Zhang, K Zhang, T Liu ACM Transactions on Information Systems 41 (3), 1-36, 2023 | 4 | 2023 |
| Automating Exploratory Proteomics Research via Language Models N Ding, S Qu, L Xie, Y Li, Z Liu, K Zhang, Y Xiong, Y Zuo, Z Chen, E Hua, ... Preprint, 2024 | 3 | 2024 |
| SMR: State Memory Replay for Long Sequence Modeling B Qi, J Gao, K Zhang, D Li, J Liu, L Wu, B Zhou ACL 2024 findings, 2024 | 3* | 2024 |
| CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model K Zhang, N Ding, B Qi, X Zhu, X Long, B Zhou EMNLP 2023, 2023 | 3 | 2023 |
| A survey of multi-party dialogue research based on deep learning K Zhang, WN Zhang, T Liu SCIENTIA SINICA Informationis 51 (8), 1217-1232, 2021 | 3* | 2021 |
| MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding Y Zuo, S Qu, Y Li, Z Chen, X Zhu, E Hua, K Zhang, N Ding, B Zhou Preprint, 2025 | 2 | 2025 |
Bowen ZhouChair Professor, Department of Electrical Engineering, Tsinghua University; Founder of Frontis.aiE-mailová adresa ověřena na: tsinghua.edu.cn