| Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models L Wang, W Xu, Y Lan, Z Hu, Y Lan, RKW Lee, EP Lim ACL 2023, 2023 | 216* | 2023 |
| Graph-to-tree learning for solving math word problems J Zhang*, L Wang*, RKW Lee, Y Bin, Y Wang, J Shao, EP Lim ACL 2020, 2020 | 190 | 2020 |
| Translating a math word problem to an expression tree L Wang, Y Wang, D Cai, D Zhang, X Liu EMNLP 2018 (Short), 2018 | 180 | 2018 |
| LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models Z Hu, L Wang**, Y Lan, W Xu, EP Lim, L Bing, X Xu, S Poria, RKW Lee EMNLP 2023, 2023 | 156* | 2023 |
| Mathdqn: Solving arithmetic word problems via deep reinforcement learning L Wang, D Zhang, L Gao, J Song, L Guo, HT Shen AAAI 2018 (Oral), 2018 | 154 | 2018 |
| Template-based math word problem solvers with recursive neural networks L Wang, D Zhang, J Zhang, X Xu, L Gao, BT Dai, HT Shen AAAI 2019, 2019 | 145 | 2019 |
| The gap of semantic parsing: A survey on automatic math word problem solvers D Zhang, L Wang, L Zhang, BT Dai, HT Shen TPAMI 42 (9), 2287-2305, 2019 | 143 | 2019 |
| Modeling intra-relation in math word problems with different functional multi-head attentions J Li, L Wang**, J Zhang, Y Wang, BT Dai, D Zhang ACL 2019 (Short), 2019 | 107 | 2019 |
| MWP-BERT: Numeracy-augmented pre-training for math word problem solving Z Liang, J Zhang, L Wang, W Qin, Y Lan, J Shao, X Zhang Findings of NAACL 2022, 2022 | 101* | 2022 |
| Zero-Shot Next-Item Recommendation using Large Pretrained Language Models L Wang, EP Lim Technical Report, 2023 | 85 | 2023 |
| Mwptoolkit: An open-source framework for deep learning-based math word problem solvers Y Lan, L Wang, Q Zhang, Y Lan, BT Dai, Y Wang, D Zhang, EP Lim Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13188 …, 2022 | 66* | 2022 |
| Teacher-student networks with multiple decoders for solving math word problem J Zhang, RKW Lee, EP Lim, W Qin, L Wang, J Shao, Q Sun IJCAI 2020, 2020 | 62 | 2020 |
| CRAN: a hybrid CNN-RNN attention-based model for text classification L Guo, D Zhang, L Wang, H Wang, B Cui Conceptual Modeling: 37th International Conference, ER 2018, Xi'an, China …, 2018 | 60 | 2018 |
| Investigating math word problems using pretrained multilingual language models M Tan, L Wang, L Jiang, J Jiang The 1st Workshop on MathNLP at EMNLP 2022, 2022 | 29 | 2022 |
| Deepstyle: User style embedding for authorship attribution of short texts Z Hu, RKW Lee, L Wang, E Lim, B Dai Web and Big Data: 4th International Joint Conference, APWeb-WAIM 2020 …, 2020 | 28 | 2020 |
| Read, Diagnose and Chat: Towards Explainable and Interactive LLMs-Augmented Depression Detection in Social Media W Qin, Z Chen, L Wang, Y Lan, W Ren, R Hong Technical Report, 2023 | 26* | 2023 |
| Explanation guided contrastive learning for sequential recommendation L Wang, EP Lim, Z Liu, T Zhao CIKM 2022, 2022 | 25 | 2022 |
| ICL-D3IE: In-context learning with diverse demonstrations updating for document information extraction J He, L Wang**, Y Hu, N Liu, H Liu, X Xu, HT Shen ICCV 2023, 2023 | 24 | 2023 |
| Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective W Ren*, L Wang*, K Liu, R Guo, LE Peng, Y Fu ICDM 2022, 2022 | 21 | 2022 |
| Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites L Wang, J He, S Li, N Liu, EP Lim MMM 2024, 2024 | 17 | 2024 |
Ee-Peng LimSingapore Management University在 smu.edu.sg 的电子邮件经过验证
