| ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate CM Chan, W Chen, Y Su, J Yu, W Xue, S Zhang, J Fu, Z Liu ICLR, 2024 | 286 | 2024 |
| MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare S Ji, T Zhang, L Ansari, J Fu, P Tiwari, E Cambria LREC, 2022 | 255 | 2022 |
| AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis E Cambria, J Fu, F Bisio, S Poria AAAI, 2015 | 221 | 2015 |
| Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs M Xiong, Z Hu, X Lu, Y Li, J Fu, J He, B Hooi ICLR, 2024 | 213 | 2024 |
| AI Alignment: A Comprehensive Survey J Ji, T Qiu, B Chen, B Zhang, H Lou, K Wang, Y Duan, Z He, J Zhou, ... arXiv preprint arXiv:2310.19852, 2023 | 186 | 2023 |
| Graph Neural Networks with Generated Parameters for Relation Extraction H Zhu, Y Lin, Z Liu, J Fu, T Chua, M Sun ACL, 2019 | 173 | 2019 |
| Biological Sequence Design with GFlowNets M Jain, E Bengio, AH Garcia, J Rector-Brooks, BFP Dossou, C Ekbote, ... ICML, 2022 | 162 | 2022 |
| Pre-trained Language Models in Biomedical Domain: A Systematic Survey B Wang, Q Xie, J Pei, P Tiwari, Z Li, J Fu ACM Computing Surveys, 2021 | 152 | 2021 |
| RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models ZM Wang, Z Peng, H Que, J Liu, W Zhou, Y Wu, H Guo, R Gan, Z Ni, ... ACL Findings, 2024 | 130 | 2024 |
| Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives Y Tay, S Wang, LA Tuan, J Fu, MC Phan, X Yuan, J Rao, SC Hui, A Zhang ACL, 2019 | 118 | 2019 |
| Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with Parameters A Zhang, Y Tay, S Zhang, A Chan, AT Luu, SC Hui, J Fu ICLR (Outstanding Paper), 2021 | 96 | 2021 |
| FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters Y Cheng, J Zhu, M Jiang, J Fu, C Pang, P Wang, K Sankaran, O Onabola, ... ICCV, 2021 | 95 | 2021 |
| 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 | 91 | 2024 |
| CoCon: A Self-Supervised Approach for Controlled Text Generation A Chan, YS Ong, B Pung, A Zhang, J Fu ICLR, 2021 | 90 | 2021 |
| Jacobian Adversarially Regularized Networks for Robustness A Chan, Y Tay, YS Ong, J Fu ICLR, 2020 | 90 | 2020 |
| Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks Y Tay, A Zhang, LA Tuan, J Rao, S Zhang, S Wang, J Fu, SC Hui ACL, 2019 | 81 | 2019 |
| GLGE: A New General Language Generation Evaluation Benchmark D Liu, Y Yan, Y Gong, W Qi, H Zhang, J Jiao, W Chen, J Fu, L Shou, ... Findings of ACL, 2021 | 72 | 2021 |
| OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement T Zheng, G Zhang, T Shen, X Liu, BY Lin, J Fu, W Chen, X Yue ACL Findings, 2024 | 71 | 2024 |
| 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 | 71 | 2024 |
| A Pathway Towards Responsible AI Generated Content C Chen, J Fu, L Lyu arXiv preprint arXiv:2303.01325, 2023 | 71 | 2023 |
Chris PalProfessor, Polytechnique Montréal & Mila, ServiceNow Research, Canada CIFAR AI ChairVerified email at polymtl.ca
