| Raft: Reward ranked finetuning for generative foundation model alignment H Dong, W Xiong, D Goyal, Y Zhang, W Chow, R Pan, S Diao, J Zhang, ... TMLR, 2023 | 315 | 2023 |
| Active prompting with chain-of-thought for large language models S Diao, P Wang, Y Lin, R Pan, X Liu, T Zhang ACL 2024, 2023 | 184 | 2023 |
| Mitigating the alignment tax of rlhf Y Lin, H Lin, W Xiong, S Diao, J Liu, J Zhang, R Pan, H Wang, W Hu, ... EMNLP 2024, 2024 | 97* | 2024 |
| 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, L Kong, ... EMNLP 2023, 2023 | 93* | 2023 |
| Lmflow: An extensible toolkit for finetuning and inference of large foundation models S Diao*, R Pan*, H Dong*, KS Shum, J Zhang, W Xiong, T Zhang NAACL 2024 (Best Demo), 2023 | 52 | 2023 |
| MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance R Pi, T Han, Y Xie, R Pan, Q Lian, H Dong, J Zhang, T Zhang EMNLP 2024, 2024 | 47 | 2024 |
| 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 | 25* | 2024 |
| 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 (Oral), 2024 | 20 | 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 | 13* | 2024 |
| Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums R Pan*, H Ye*, T Zhang* ICLR 2022, 2021 | 12 | 2021 |
| Plum: Prompt Learning using Metaheuristic R Pan, S Xing, S Diao, W Sun, X Liu, K Shum, J Zhang, R Pi, T Zhang ACL 2024 Findings, 2023 | 11 | 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 | 10* | 2024 |
| Astrollama-chat: Scaling astrollama with conversational and diverse datasets E Perkowski*, R Pan*, TD Nguyen, YS Ting, S Kruk, T Zhang, C O’Neill, ... Research Notes of the AAS 8 (1), 7, 2024 | 10 | 2024 |
| Extremebert: A toolkit for accelerating pretraining of customized bert R Pan, S Diao, J Chen, T Zhang arXiv preprint arXiv:2211.17201, 2022 | 6 | 2022 |
| Image Textualization: An Automatic Framework for Creating Accurate and Detailed Image Descriptions R Pi, J Zhang, J Zhang, R Pan, Z Chen, T Zhang NeurIPS 2024, 2024 | 5 | 2024 |
| AstroMLab 1: Who wins astronomy jeopardy!? YS Ting, TD Nguyen, T Ghosal, R Pan, H Arora, Z Sun, T de Haan, ... Astronomy and Computing 51, 100893, 2025 | 4 | 2025 |
| ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting R Pan, J Zhang, X Pan, R Pi, X Wang, T Zhang arXiv preprint arXiv:2406.19976, 2024 | 4 | 2024 |
| Personalized visual instruction tuning R Pi, J Zhang, T Han, J Zhang, R Pan, T Zhang ICLR 2025, 2024 | 3 | 2024 |
| AdaGrad under Anisotropic Smoothness Y Liu*, R Pan*, T Zhang ICLR 2025, 2024 | 3* | 2024 |
| AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy R Pan, TD Nguyen, H Arora, A Accomazzi, T Ghosal, YS Ting SC24 Workshop, 2024 | 2 | 2024 |
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