Boxin Wang

According to our database, Boxin Wang authored at least 31 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

NVLM: Open Frontier-Class Multimodal LLMs.

Wenliang Dai, Nayeon Lee, Boxin Wang, Zhuoling Yang, Zihan Liu, Jon Barker, Tuomas Rintamaki, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping

CoRR, 2024

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs.

Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro

CoRR, 2024

Can Public Large Language Models Help Private Cross-device Federated Learning?

Boxin Wang, Yibo Zhang, Yuan Cao, Bo Li, Hugh McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining.

Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the Forty-first International Conference on Machine Learning, 2024

UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks.

Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

POSTER: Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications.

Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023

Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications.

Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran

CoRR, 2023

Can Public Large Language Models Help Private Cross-device Federated Learning?

Boxin Wang, Jacky Yibo Zhang, Yuan Cao, Bo Li, H. Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer

CoRR, 2023

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study.

Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data.

Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Han Zhao, Bo Li

CoRR, 2022

Improving Certified Robustness via Statistical Learning with Logical Reasoning.

Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models.

Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SemAttack: Natural Textual Attacks via Different Semantic Spaces.

Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Certifying Out-of-Domain Generalization for Blackbox Functions.

Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang

Proceedings of the International Conference on Machine Learning, 2022

Revisit Systematic Generalization via Meaningful Learning.

Ning Shi, Boxin Wang, Wei Wang, Xiangyu Liu, Zhouhan Lin

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

2021

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models.

Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators.

Yunhui Long, Boxin Wang, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Incorporating External POS Tagger for Punctuation Restoration.

Ning Shi, Wei Wang, Boxin Wang, Jinfeng Li, Xiangyu Liu, Zhouhan Lin

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability.

Kaizhao Liang, Jacky Y. Zhang, Boxin Wang, Zhuolin Yang, Sanmi Koyejo, Bo Li

Proceedings of the 38th International Conference on Machine Learning, 2021

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective.

Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

Counterfactual Adversarial Learning with Representation Interpolation.

Wei Wang, Boxin Wang, Ning Shi, Jinfeng Li, Bingyu Zhu, Xiangyu Liu, Rong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation.

Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Towards Evaluating the Robustness of Chinese BERT Classifiers.

Boxin Wang, Boyuan Pan, Xin Li, Bo Li

CoRR, 2020

End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines.

Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang

CoRR, 2020

Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States.

Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Jun Xiao, Bo Li

CoRR, 2020

T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack.

Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States.

Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms.

Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song

Proc. VLDB Endow., 2019

AdvCodec: Towards A Unified Framework for Adversarial Text Generation.

Boxin Wang, Hengzhi Pei, Han Liu, Bo Li

CoRR, 2019

Towards Efficient Data Valuation Based on the Shapley Value.

Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019