| Large Language Models are not Fair Evaluators P Wang, L Li, L Chen, D Zhu, B Lin, Y Cao, Q Liu, T Liu, Z Sui ACL2024, 2023 | 327 | 2023 |
| Deepseek llm: Scaling open-source language models with longtermism X Bi, D Chen, G Chen, S Chen, D Dai, C Deng, H Ding, K Dong, Q Du, ... arXiv preprint arXiv:2401.02954, 2024 | 159 | 2024 |
| MIT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning L Li, Y Yin, S Li, L Chen, P Wang, S Ren, M Li, Y Yang, J Xu, X Sun, ... arXiv preprint arXiv:2306.04387, 2023 | 130* | 2023 |
| DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models Z Shao, P Wang, Q Zhu, R Xu, J Song, M Zhang, YK Li, Y Wu, D Guo arXiv preprint arXiv:2402.03300, 2024 | 117 | 2024 |
| Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification Z Wang, P Wang, L Huang, X Sun, H Wang ACL2022, 2022 | 109 | 2022 |
| Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations P Wang, L Li, Z Shao, RX Xu, D Dai, Y Li, D Chen, Y Wu, Z Sui ACL2024, 2023 | 89* | 2023 |
| DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence Q Zhu, D Guo, Z Shao, D Yang, P Wang, R Xu, Y Wu, Y Li, H Gao, S Ma, ... arXiv preprint arXiv:2406.11931, 2024 | 75* | 2024 |
| Speculative decoding: Exploiting speculative execution for accelerating seq2seq generation H Xia, T Ge, P Wang, SQ Chen, F Wei, Z Sui Findings of the Association for Computational Linguistics: EMNLP 2023, 3909-3925, 2023 | 54* | 2023 |
| Unlocking efficiency in large language model inference: A comprehensive survey of speculative decoding H Xia, Z Yang, Q Dong, P Wang, Y Li, T Ge, T Liu, W Li, Z Sui Findings of ACL2024, 2024 | 51 | 2024 |
| Silkie: Preference distillation for large visual language models L Li, Z Xie, M Li, S Chen, P Wang, L Chen, Y Yang, B Wang, L Kong arXiv preprint arXiv:2312.10665, 2023 | 51 | 2023 |
| A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction R Xu, P Wang, T Liu, S Zeng, B Chang, Z Sui NAACL2022, 2022 | 50 | 2022 |
| An enhanced span-based decomposition method for few-shot sequence labeling P Wang, R Xu, T Liu, Q Zhou, Y Cao, B Chang, Z Sui NAACL2022, 2021 | 49 | 2021 |
| HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification Z Wang, P Wang, T Liu, Y Cao, Z Sui, H Wang EMNLP2022, 2022 | 48 | 2022 |
| Making large language models better reasoners with alignment P Wang, L Li, L Chen, F Song, B Lin, Y Cao, T Liu, Z Sui arXiv preprint arXiv:2309.02144, 2023 | 47 | 2023 |
| Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model A Liu, B Feng, B Wang, B Wang, B Liu, C Zhao, C Dengr, C Ruan, D Dai, ... arXiv preprint arXiv:2405.04434, 2024 | 46 | 2024 |
| PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain L Chen, Y Zhang, S Ren, H Zhao, Z Cai, Y Wang, P Wang, X Meng, T Liu, ... Findings of ACL2024, 2024 | 44* | 2024 |
| Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models L Li, Y Wang, R Xu, P Wang, X Feng, L Kong, Q Liu ACL2024, 2024 | 34 | 2024 |
| First target and opinion then polarity: Enhancing target-opinion correlation for aspect sentiment triplet extraction L Huang, P Wang, S Li, T Liu, X Zhang, Z Cheng, D Yin, H Wang arXiv preprint arXiv:2102.08549, 2021 | 33 | 2021 |
| Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation P Wang, Y Song, T Liu, B Lin, Y Cao, S Li, Z Sui EMNLP2022, 2022 | 21 | 2022 |
| Behind the scenes: An exploration of trigger biases problem in few-shot event classification P Wang, R Xun, T Liu, D Dai, B Chang, Z Sui CIKM 2021, 1969-1978, 2021 | 16 | 2021 |
Tianyu LiuAlibabaVerified email at pku.edu.cn
