Shang, Jingbo

32 publications

NeurIPS 2025 Codifying Character Logic in Role-Playing Letian Peng, Jingbo Shang

ICLR 2025 Correlation and Navigation in the Vocabulary Key Representation Space of Language Models Letian Peng, Chenyang An, Jingbo Shang

NeurIPS 2025 LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? Zihan Zheng, Zerui Cheng, Zeyu Shen, Shang Zhou, Kaiyuan Liu, Hansen He, Dongruixuan Li, Stanley Wei, Hangyi Hao, Jianzhu Yao, Peiyao Sheng, Zixuan Wang, Wenhao Chai, Aleksandra Korolova, Peter Henderson, Sanjeev Arora, Pramod Viswanath, Jingbo Shang, Saining Xie

NeurIPS 2025 Mixture of Inputs: Text Generation Beyond Discrete Token Sampling Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao

ICLR 2025 OCEAN: Offline Chain-of-Thought Evaluation and Alignment in Large Language Models Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian McAuley

TMLR 2025 OmniInput: An Evaluation Framework for Deep Learning Models on Internet-Scale Data Weitang Liu, Yuelei Li, Ying Wai Li, Zihan Wang, Yi-Zhuang You, Jingbo Shang

ICLR 2025 Speculative RAG: Enhancing Retrieval Augmented Generation Through Drafting Zilong Wang, Zifeng Wang, Long Le, Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

NeurIPS 2025 Training Language Models to Generate Quality Code with Program Analysis Feedback Feng Yao, Zilong Wang, Liyuan Liu, Junxia Cui, Li Zhong, Xiaohan Fu, Haohui Mai, Vish Krishnan, Jianfeng Gao, Jingbo Shang

ICLR 2025 Vector-ICL: In-Context Learning with Continuous Vector Representations Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao

AAAI 2025 ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition Ranak Roy Chowdhury, Ritvik Kapila, Ameya Panse, Xiyuan Zhang, Diyan Teng, Rashmi Kulkarni, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang

ICLR 2024 Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

ICLR 2024 Fast-ELECTRA for Efficient Pre-Training Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu

IJCAI 2024 Large Language Models for Time Series: A Survey Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang

TMLR 2024 Learning a Decision Tree Algorithm with Transformers Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao

ICML 2024 MEMORYLLM: Towards Self-Updatable Large Language Models Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian Mcauley

NeurIPS 2024 Quantifying and Optimizing Global Faithfulness in Persona-Driven Role-Playing Letian Peng, Jingbo Shang

ICMLW 2024 RNR: Teaching Large Language Models to Follow Roles and Rules Kuan Wang, Alexander Bukharin, Haoming Jiang, Qingyu Yin, Zhengyang Wang, Tuo Zhao, Jingbo Shang, Chao Zhang, Bing Yin, Xian Li, Jianshu Chen, Shiyang Li

ICLR 2024 Toward Student-Oriented Teacher Network Training for Knowledge Distillation Chengyu Dong, Liyuan Liu, Jingbo Shang

NeurIPS 2024 UniMTS: Unified Pre-Training for Motion Time Series Xiyuan Zhang, Diyan Teng, Ranak Roy Chowdhury, Shuheng Li, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang

ICML 2023 Gradient-Based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space Weitang Liu, Yi-Zhuang You, Ying Wai Li, Jingbo Shang

ICCV 2023 Learning Concise and Descriptive Attributes for Visual Recognition An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian McAuley

IJCAI 2023 Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework Jiayun Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang

ICLR 2023 On Compositional Uncertainty Quantification for Seq2seq Graph Parsing Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang

AAAI 2023 PrimeNet: Pre-Training for Irregular Multivariate Time Series Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang

NeurIPSW 2023 Toward Student-Oriented Teacher Network Training for Knowledge Distillation Chengyu Dong, Liyuan Liu, Jingbo Shang

NeurIPSW 2023 WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang

NeurIPS 2022 Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting Chengyu Dong, Liyuan Liu, Jingbo Shang

AAAI 2022 Unsupervised Deep Keyphrase Generation Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang

ECML-PKDD 2020 FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-Grams Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han

ICML 2020 Towards Adaptive Residual Network Training: A Neural-ODE Perspective Chengyu Dong, Liyuan Liu, Zichao Li, Jingbo Shang

AAAI 2018 Empower Sequence Labeling with Task-Aware Neural Language Model Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han

ECML-PKDD 2017 SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han