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BO PANG
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Codegen: An open large language model for code with multi-turn program synthesis
E Nijkamp, B Pang, H Hayashi, L Tu, H Wang, Y Zhou, S Savarese, ...
arXiv preprint arXiv:2203.13474, 2022
6422022
Deep learning with tensorflow: A review
B Pang, E Nijkamp, YN Wu
Journal of Educational and Behavioral Statistics 45 (2), 227-248, 2020
3682020
A conversational paradigm for program synthesis
E Nijkamp, B Pang, H Hayashi, L Tu, H Wang, Y Zhou, S Savarese, ...
arXiv preprint arXiv:2203.13474 30, 2022
1302022
Learning latent space energy-based prior model
B Pang, T Han, E Nijkamp, SC Zhu, YN Wu
NeurIPS 2020, 2020
1292020
Trajectory Prediction with Latent Belief Energy-Based Model
B Pang, T Zhao, X Xie, YN Wu
CVPR 2021, 11814-11824, 2021
802021
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation
B Pang, E Nijkamp, W Han, L Zhou, Y Liu, K Tu
ACL 2020, 2020
792020
Latent diffusion energy-based model for interpretable text modeling
P Yu, S Xie, X Ma, B Jia, B Pang, R Gao, Y Zhu, SC Zhu, YN Wu
arXiv preprint arXiv:2206.05895, 2022
632022
Robust Transfer Learning with Pretrained Language Models through Adapters
W Han*, B Pang*, Y Wu
ACL 2021, 2021
552021
Learning multi-layer latent variable model via variational optimization of short run MCMC for approximate inference
E Nijkamp*, B Pang*, T Han, L Zhou, SC Zhu, YN Wu
ECCV 2020, 2020
472020
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model
T Han, E Nijkamp, L Zhou, B Pang, SC Zhu, YN Wu
CVPR 2020, 7978-7987, 2020
462020
Long document summarization with top-down and bottom-up inference
B Pang, E Nijkamp, W Kryściński, S Savarese, Y Zhou, C Xiong
arXiv preprint arXiv:2203.07586, 2022
372022
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
B Pang, YN Wu
ICML 2021, 8359-8370, 2021
232021
Mcmc should mix: Learning energy-based model with neural transport latent space mcmc
E Nijkamp, R Gao, P Sountsov, S Vasudevan, B Pang, SC Zhu, YN Wu
arXiv preprint arXiv:2006.06897, 2020
212020
Learning energy-based model with flow-based backbone by neural transport mcmc
E Nijkamp, R Gao, P Sountsov, S Vasudevan, B Pang, SC Zhu, YN Wu
arXiv preprint arXiv:2006.06897 2, 2020
212020
Xgen-7b technical report
E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ...
arXiv preprint arXiv:2309.03450, 2023
172023
Artificial modification on lateral hydrological connectivity promotes range expansion of invasive Spartina alterniflora in salt marshes of the Yellow River delta, China
T Xie, Q Wang, Z Ning, C Chen, B Cui, J Bai, W Shi, B Pang
Science of the Total Environment 769, 144476, 2021
172021
Rlhf workflow: From reward modeling to online rlhf
H Dong, W Xiong, B Pang, H Wang, H Zhao, Y Zhou, N Jiang, D Sahoo, ...
arXiv preprint arXiv:2405.07863, 2024
152024
Long sequence modeling with xgen: A 7b llm trained on 8k input sequence length
E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ...
Salesforce AI Research Blog, 2023
132023
Learning Latent Space Energy-Based Prior Model for Molecule Generation
B Pang, T Han, YN Wu
NeurIPS Workshop 2020, 2020
112020
Learning probabilistic models from generator latent spaces with hat ebm
M Hill, E Nijkamp, J Mitchell, B Pang, SC Zhu
Advances in Neural Information Processing Systems 35, 928-940, 2022
82022
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Articles 1–20