Boxin Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 40

Top Topics

Nearest Neighbor

Meaningful Learning

Top Venues

Publications

Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs. CoRR (2024)
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran
POSTER: Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications. AsiaCCS (2024)
Boxin Wang, Jacky Yibo Zhang, Yuan Cao, Bo Li, H. Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer
Can Public Large Language Models Help Private Cross-device Federated Learning? CoRR (2023)
Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. CoRR (2023)
Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. CoRR (2023)
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. CoRR (2023)
Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. EMNLP (2023)
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. NeurIPS (2023)
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran
Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications. CoRR (2023)
Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Han Zhao, Bo Li
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data. CoRR (2022)
Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. NeurIPS (2022)
Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. CoRR (2022)
Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
Certifying Out-of-Domain Generalization for Blackbox Functions. CoRR (2022)
Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
Certifying Out-of-Domain Generalization for Blackbox Functions. ICML (2022)
Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li
SemAttack: Natural Textual Attacks via Different Semantic Spaces. CoRR (2022)
Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li
SemAttack: Natural Textual Attacks via Different Semantic Spaces. NAACL-HLT (Findings) (2022)
Ning Shi, Boxin Wang, Wei Wang, Xiangyu Liu, Zhouhan Lin
Revisit Systematic Generalization via Meaningful Learning. BlackboxNLP@EMNLP (2022)
Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li
Improving Certified Robustness via Statistical Learning with Logical Reasoning. NeurIPS (2022)
Ning Shi, Wei Wang, Boxin Wang, Jinfeng Li, Xiangyu Liu, Zhouhan Lin
Incorporating External POS Tagger for Punctuation Restoration. Interspeech (2021)
Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. ICLR (2021)
Kaizhao Liang, Jacky Y. Zhang, Boxin Wang, Zhuolin Yang, Sanmi Koyejo, Bo Li
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability. ICML (2021)
Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. CoRR (2021)
Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. NeurIPS Datasets and Benchmarks (2021)
Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. CoRR (2021)
Wei Wang, Boxin Wang, Ning Shi, Jinfeng Li, Bingyu Zhu, Xiangyu Liu, Rong Zhang
Counterfactual Adversarial Learning with Representation Interpolation. EMNLP (Findings) (2021)
Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. CCS (2021)
Wei Wang, Boxin Wang, Ning Shi, Jinfeng Li, Bingyu Zhu, Xiangyu Liu, Rong Zhang
Counterfactual Adversarial Learning with Representation Interpolation. CoRR (2021)
Ning Shi, Wei Wang, Boxin Wang, Jinfeng Li, Xiangyu Liu, Zhouhan Lin
Incorporating External POS Tagger for Punctuation Restoration. CoRR (2021)
Yunhui Long, Boxin Wang, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators. NeurIPS (2021)
Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines. CoRR (2020)
Boxin Wang, Boyuan Pan, Xin Li, Bo Li
Towards Evaluating the Robustness of Chinese BERT Classifiers. CoRR (2020)
Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Jun Xiao, Bo Li
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States. CoRR (2020)
Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack. EMNLP (1) (2020)
Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. CoRR (2020)
Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States. AAAI (2020)
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos
Towards Efficient Data Valuation Based on the Shapley Value. AISTATS (2019)
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos
Towards Efficient Data Valuation Based on the Shapley Value. CoRR (2019)
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. Proc. VLDB Endow. 12 (11) (2019)
Boxin Wang, Hengzhi Pei, Han Liu, Bo Li
AdvCodec: Towards A Unified Framework for Adversarial Text Generation. CoRR (2019)
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. CoRR (2019)