| Bridging the gap between sample-based and one-shot neural architecture search with bonas H Shi*, R Pi*, H Xu, Z Li, J Kwok, T Zhang NeurIPS 2021 33, 1808-1819, 2020 | 173* | 2020 |
| Speciality vs generality: An empirical study on catastrophic forgetting in fine-tuning foundation models Y Lin, L Tan, H Lin, Z Zheng, R Pi, J Zhang, S Diao, H Wang, H Zhao, ... EMNLP 2024, 2023 | 109* | 2023 |
| DetGPT: Detect What You Need via Reasoning R Pi, J Gao, S Diao, R Pan, H Dong, J Zhang, L Yao, J Han, H Xu, ... EMNLP 2023, 2023 | 96* | 2023 |
| G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model J Gao*, R Pi*, J Zhang, J Ye, W Zhong, Y Wang, L Hong, J Han, H Xu, Z Li, ... ICLR 2025, 2023 | 87* | 2023 |
| Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning J Gao*, R Pi*, LIN Yong, H Xu, J Ye, Z Wu, W ZHANG, X Liang, Z Li, ... ICLR 2023 (Spotlight), 2022 | 78* | 2022 |
| Model agnostic sample reweighting for out-of-distribution learning X Zhou, Y Lin, R Pi, W Zhang, R Xu, P Cui, T Zhang ICML 2022, 27203-27221, 2022 | 66 | 2022 |
| MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance R Pi, T Han, J Zhang, Y Xie, R Pan, Q Lian, H Dong, J Zhang, T Zhang EMNLP 2024, 2024 | 55 | 2024 |
| Joint-detnas: Upgrade your detector with nas, pruning and dynamic distillation L Yao*, R Pi*, H Xu, W Zhang, Z Li, T Zhang CVPR 2021, 10175-10184, 2021 | 39 | 2021 |
| G-DetKD: towards general distillation framework for object detectors via contrastive and semantic-guided feature imitation L Yao*, R Pi*, H Xu, W Zhang, Z Li, T Zhang ICCV 2021, 3591-3600, 2021 | 36* | 2021 |
| Probabilistic bilevel coreset selection X Zhou*, R Pi*, W Zhang, Y Lin, Z Chen, T Zhang ICML 2022, 27287-27302, 2022 | 35 | 2022 |
| LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning R Pan, X Liu, S Diao, R Pi, J Zhang, C Han, T Zhang NeurIPS 2024, 2024 | 34* | 2024 |
| GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis Y Xie, M Fang, R Pi, N Gong ACL 2024, 2024 | 32* | 2024 |
| A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond LIN Yong*, R Pi*, W Zhang, X Xia, J Gao, X Zhou, T Liu, B Han ICLR 2023 (Spotlight), 2022 | 28* | 2022 |
| Strengthening multimodal large language model with bootstrapped preference optimization R Pi, T Han, W Xiong, J Zhang, R Liu, R Pan, T Zhang ECCV 2024, 2024 | 25 | 2024 |
| Dynafed: Tackling client data heterogeneity with global dynamics R Pi, W Zhang, Y Xie, J Gao, X Wang, S Kim, Q Chen CVPR 2023, 12177-12186, 2023 | 24 | 2023 |
| Perceptiongpt: Effectively fusing visual perception into llm R Pi, L Yao, J Gao, J Zhang, T Zhang CVPR 2024, 2023 | 18 | 2023 |
| SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark Z Liang, K Guo, G Liu, T Guo, Y Zhou, T Yang, J Jiao, R Pi, J Zhang, ... ACL 2024, 2024 | 15* | 2024 |
| The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs T Han, Q Lian, R Pan, R Pi, J Zhang, S Diao, Y Lin, T Zhang EMNLP 2024, 2024 | 15* | 2024 |
| Plum: Prompt learning using metaheuristic R Pan, S Xing, S Diao, X Liu, K Shum, J Zhang, R Pi, T Zhang Findings of ACL 2024, 2023 | 13 | 2023 |
| TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts R Wang, J Zhang, Y Jia, R Pan, S Diao, R Pi, T Zhang EMNLP 2024, 2024 | 12* | 2024 |