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 | 131 | 2023 |
Active prompting with chain-of-thought for large language models S Diao, P Wang, Y Lin, R Pan, X Liu, T Zhang | 92 | 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 (Demo Track), 2023 | 38 | 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 | 36 | 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 | 10 | 2024 |
Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums R Pan*, H Ye*, T Zhang* ICLR 2022, 2021 | 7 | 2021 |
Systems and methods for digital route planning R Pan, Z Wang US Patent 10,209,084 B2, 2019 | 7 | 2019 |
Plum: Prompt Learning using Metaheuristic R Pan*, S Xing*, S Diao, X Liu, K Shum, J Zhang, T Zhang | 3 | 2023 |
Extremebert: A toolkit for accelerating pretraining of customized bert R Pan*, S Diao*, J Chen*, T Zhang | 3 | 2022 |
Methods and systems for route planning Z Wang, LI Yaxu, R Pan US Patent 2020/0049522 A1, 2020 | 3 | 2020 |
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 | | 2024 |
Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization R Pi, T Han, W Xiong, J Zhang, R Liu, R Pan, T Zhang | | 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 | | 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, ... | | 2024 |
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise R Pan*, Y Liu*, X Wang, T Zhang ICLR 2024, 2023 | | 2023 |