Boxin Wang - RankMe

49 papers A* 13A 3Journal 27Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation. CoRR Zhuolin Yang, Zihan Liu, Yang Chen, Wenliang Dai, Boxin Wang, Sheng-Chieh Lin, Chankyu Lee, Yangyi Chen, Dongfu Jiang, Jiafan He, Renjie Pi, Grace Lam, Nayeon Lee, Alexander Bukharin, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2025	J	`jnl`	Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning. CoRR Alisson G. Azzolini, Hannah Brandon, Prithvijit Chattopadhyay, Huayu Chen, Jinju Chu, Yin Cui, Jenna Diamond, Yifan Ding, Francesco Ferroni, Rama Govindaraju, Jinwei Gu, Siddharth Gururani, Imad El Hanafi, Zekun Hao, Jacob Samuel Huffman, Jingyi Jin, Brendan Johnson, Rizwan Khan, George Kurian, Elena Lantz, Nayeon Lee, Zhaoshuo Li, Xuan Li, Tsung-Yi Lin, Yen-Chen Lin, Ming-Yu Liu, Alice Luo, Andrew Mathau, Yun Ni, Lindsey Pavao, Wei Ping, David W. Romero, Misha Smelyanskiy, Shuran Song, Lyne Tchapmi, Andrew Z. Wang, Boxin Wang, Haoxiang Wang, Fangyin Wei, Jiashu Xu, Yao Xu, Xiaodong Yang, Zhuolin Yang, Xiaohui Zeng, Zhe Zhang
2025	J	`jnl`	From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models. CoRR Chejian Xu, Wei Ping, Peng Xu, Zihan Liu, Boxin Wang, Mohammad Shoeybi, Bo Li, Bryan Catanzaro
2025	J	`jnl`	Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models. CoRR Boxin Wang, Chankyu Lee, Nayeon Lee, Sheng-Chieh Lin, Wenliang Dai, Yang Chen, Yangyi Chen, Zhuolin Yang, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2024	—	`conf`	Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL-HLT (Findings) Boxin Wang, Yibo Zhang, Yuan Cao, Bo Li, Hugh McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer
2024	A*	`conf`	InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. ICML Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro
2024	J	`jnl`	NVLM: Open Frontier-Class Multimodal LLMs. CoRR Wenliang Dai, Nayeon Lee, Boxin Wang, Zhuoling Yang, Zihan Liu, Jon Barker, Tuomas Rintamaki, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2024	A	`conf`	POSTER: Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications. AsiaCCS Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran
2024	A*	`conf`	RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs. NeurIPS Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro
2024	J	`jnl`	RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs. CoRR Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro
2024	A*	`conf`	UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks. EMNLP Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei
2023	J	`jnl`	Can Public Large Language Models Help Private Cross-device Federated Learning? CoRR Boxin Wang, Jacky Yibo Zhang, Yuan Cao, Bo Li, H. Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer
2023	A*	`conf`	DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. NeurIPS 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
2023	J	`jnl`	DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. CoRR 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
2023	J	`jnl`	Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications. CoRR Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran
2023	J	`jnl`	InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. CoRR Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro
2023	A*	`conf`	Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. EMNLP Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro
2023	J	`jnl`	Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. CoRR Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro
2022	A*	`conf`	Certifying Out-of-Domain Generalization for Blackbox Functions. ICML Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
2022	J	`jnl`	Certifying Out-of-Domain Generalization for Blackbox Functions. CoRR Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
2022	A*	`conf`	Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. NeurIPS Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
2022	J	`jnl`	Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. CoRR Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
2022	J	`jnl`	FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data. CoRR Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Han Zhao, Bo Li
2022	A*	`conf`	Improving Certified Robustness via Statistical Learning with Logical Reasoning. NeurIPS Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li
2022	—	`conf`	Revisit Systematic Generalization via Meaningful Learning. BlackboxNLP@EMNLP Ning Shi, Boxin Wang, Wei Wang, Xiangyu Liu, Zhouhan Lin
2022	—	`conf`	SemAttack: Natural Textual Attacks via Different Semantic Spaces. NAACL-HLT (Findings) Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li
2022	J	`jnl`	SemAttack: Natural Textual Attacks via Different Semantic Spaces. CoRR Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li
2021	—	`conf`	Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. NeurIPS Datasets and Benchmarks Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li
2021	J	`jnl`	Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. CoRR Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li
2021	—	`conf`	Counterfactual Adversarial Learning with Representation Interpolation. EMNLP (Findings) Wei Wang, Boxin Wang, Ning Shi, Jinfeng Li, Bingyu Zhu, Xiangyu Liu, Rong Zhang
2021	J	`jnl`	Counterfactual Adversarial Learning with Representation Interpolation. CoRR Wei Wang, Boxin Wang, Ning Shi, Jinfeng Li, Bingyu Zhu, Xiangyu Liu, Rong Zhang
2021	A*	`conf`	DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. CCS Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li
2021	J	`jnl`	DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. CoRR Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li
2021	A*	`conf`	G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators. NeurIPS Yunhui Long, Boxin Wang, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li
2021	A	`conf`	Incorporating External POS Tagger for Punctuation Restoration. Interspeech Ning Shi, Wei Wang, Boxin Wang, Jinfeng Li, Xiangyu Liu, Zhouhan Lin
2021	J	`jnl`	Incorporating External POS Tagger for Punctuation Restoration. CoRR Ning Shi, Wei Wang, Boxin Wang, Jinfeng Li, Xiangyu Liu, Zhouhan Lin
2021	A*	`conf`	InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. ICLR Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
2021	A*	`conf`	Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability. ICML Kaizhao Liang, Jacky Y. Zhang, Boxin Wang, Zhuolin Yang, Sanmi Koyejo, Bo Li
2020	J	`jnl`	End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines. CoRR Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang
2020	J	`jnl`	InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. CoRR Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
2020	A*	`conf`	Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States. AAAI Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li
2020	J	`jnl`	Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States. CoRR Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Jun Xiao, Bo Li
2020	—	`conf`	T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack. EMNLP (1) Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li
2020	J	`jnl`	Towards Evaluating the Robustness of Chinese BERT Classifiers. CoRR Boxin Wang, Boyuan Pan, Xin Li, Bo Li
2019	J	`jnl`	AdvCodec: Towards A Unified Framework for Adversarial Text Generation. CoRR Boxin Wang, Hengzhi Pei, Han Liu, Bo Li
2019	J	`jnl`	Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. CoRR Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song
2019	J	`jnl`	Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. Proc. VLDB Endow. Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song
2019	A	`conf`	Towards Efficient Data Valuation Based on the Shapley Value. AISTATS Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos
2019	J	`jnl`	Towards Efficient Data Valuation Based on the Shapley Value. CoRR Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos