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Sinong Wang
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2020 – today
- 2024
- [c30]Yu Meng
, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. ICLR 2024 - [c29]Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang:
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. NAACL-HLT 2024: 3991-4008 - [c28]Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma:
Effective Long-Context Scaling of Foundation Models. NAACL-HLT 2024: 4643-4663 - [i37]Chiyu Zhang, Yifei Sun, Jun Chen, Jie Lei, Muhammad Abdul-Mageed, Sinong Wang, Rong Jin, Sem Park, Ning Yao, Bo Long:
SPAR: Personalized Content-Based Recommendation via Long Engagement Attention. CoRR abs/2402.10555 (2024) - [i36]Xingyuan Li, Sinong Wang
Phonetic and Lexical Discovery of a Canine Language using HuBERT. CoRR abs/2402.15985 (2024) - [i35]Tengyu Xu, Eryk Helenowski, Karthik Abinav Sankararaman, Di Jin, Kaiyan Peng, Eric Han, Shaoliang Nie, Chen Zhu, Hejia Zhang, Wenxuan Zhou, Zhouhao Zeng, Yun He, Karishma Mandyam, Arya Talabzadeh, Madian Khabsa, Gabriel Cohen, Yuandong Tian, Hao Ma, Sinong Wang, Han Fang:
The Perfect Blend: Redefining RLHF with Mixture of Judges. CoRR abs/2409.20370 (2024) - [i34]Chaoqi Wang, Zhuokai Zhao, Chen Zhu, Karthik Abinav Sankararaman, Michal Valko, Xuefei Cao, Zhaorun Chen, Madian Khabsa, Yuxin Chen, Hao Ma, Sinong Wang:
Preference Optimization with Multi-Sample Comparisons. CoRR abs/2410.12138 (2024) - [i33]Yun He, Di Jin, Chaoqi Wang, Chloe Bi, Karishma Mandyam, Hejia Zhang, Chen Zhu, Ning Li, Tengyu Xu, Hongjiang Lv, Shruti Bhosale, Chenguang Zhu, Karthik Abinav Sankararaman, Eryk Helenowski, Melanie Kambadur, Aditya Tayade, Hao Ma, Han Fang, Sinong Wang:
Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following. CoRR abs/2410.15553 (2024) - [i32]Yiqing Xie, Wenxuan Zhou, Pradyot Prakash, Di Jin, Yuning Mao, Quintin Fettes, Arya Talebzadeh, Sinong Wang, Han Fang, Carolyn P. Rosé, Daniel Fried, Hejia Zhang:
Improving Model Factuality with Fine-grained Critique-based Evaluator. CoRR abs/2410.18359 (2024) - 2023
- [c27]Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu:
MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) 2023: 2405-2420 - [c26]Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu:
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. ACL (Findings) 2023: 9978-9991 - [c25]Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan:
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CVPR 2023: 12239-12249 - [c24]Kuan-Hao Huang
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix. EMNLP (Findings) 2023: 7422-7430 - [c23]Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu:
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. EMNLP 2023: 9147-9160 - [i31]Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. CoRR abs/2302.02060 (2023) - [i30]Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan:
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CoRR abs/2304.01482 (2023) - [i29]Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi, Ruty Rinott:
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes. CoRR abs/2305.13499 (2023) - [i28]Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang:
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models. CoRR abs/2308.16137 (2023) - [i27]Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma:
Effective Long-Context Scaling of Foundation Models. CoRR abs/2309.16039 (2023) - 2022
- [c22]Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz:
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. ACL (Findings) 2022: 1972-1983 - [c21]Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma:
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation. EMNLP 2022: 46-61 - [c20]Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma:
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction. EMNLP (Findings) 2022: 263-276 - [c19]Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech:
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. NAACL-HLT 2022: 2361-2375 - [c18]Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma:
IDPG: An Instance-Dependent Prompt Generation Method. NAACL-HLT 2022: 5507-5521 - [i26]Zhuofeng Wu
IDPG: An Instance-Dependent Prompt Generation Method. CoRR abs/2204.04497 (2022) - [i25]Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz:
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. CoRR abs/2204.05990 (2022) - [i24]Karthik Abinav Sankararaman, Sinong Wang, Han Fang:
BayesFormer: Transformer with Uncertainty Estimation. CoRR abs/2206.00826 (2022) - [i23]Yifang Chen, Karthik Abinav Sankararaman, Alessandro Lazaric, Matteo Pirotta, Dmytro Karamshuk, Qifan Wang, Karishma Mandyam, Sinong Wang, Han Fang:
Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler. CoRR abs/2211.02233 (2022) - 2021
- [c17]Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
On the Influence of Masking Policies in Intermediate Pre-training. EMNLP (1) 2021: 7190-7202 - [c16]Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa:
On Unifying Misinformation Detection. NAACL-HLT 2021: 5479-5485 - [c15]Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer:
Luna: Linear Unified Nested Attention. NeurIPS 2021: 2441-2453 - [i22]Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa:
On Unifying Misinformation Detection. CoRR abs/2104.05243 (2021) - [i21]Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
On the Influence of Masking Policies in Intermediate Pre-training. CoRR abs/2104.08840 (2021) - [i20]Sinong Wang, Han Fang, Madian Khabsa, Hanzi Mao, Hao Ma:
Entailment as Few-Shot Learner. CoRR abs/2104.14690 (2021) - [i19]Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer:
Luna: Linear Unified Nested Attention. CoRR abs/2106.01540 (2021) - [i18]Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech:
Sparse Distillation: Speeding Up Text Classification by Using Bigger Models. CoRR abs/2110.08536 (2021) - [i17]Darsh J. Shah, Sinong Wang, Han Fang, Hao Ma, Luke Zettlemoyer:
Reducing Target Group Bias in Hate Speech Detectors. CoRR abs/2112.03858 (2021) - 2020
- [c14]Sinong Wang, Madian Khabsa, Hao Ma:
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks. ACL 2020: 2209-2213 - [c13]Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang:
Blockwise Self-Attention for Long Document Understanding. EMNLP (Findings) 2020: 2555-2565 - [c12]Sinong Wang, Jiashang Liu, Ness B. Shroff:
Fundamental Limits of Approximate Gradient Coding. SIGMETRICS (Abstracts) 2020: 21-22 - [i16]Nayeon Lee, Belinda Z. Li, Sinong Wang, Wen-tau Yih, Hao Ma, Madian Khabsa:
Language Models as Fact Checkers? CoRR abs/2006.04102 (2020) - [i15]Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, Hao Ma:
Linformer: Self-Attention with Linear Complexity. CoRR abs/2006.04768 (2020) - [i14]Sinong Wang, Madian Khabsa, Hao Ma:
To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks. CoRR abs/2006.08671 (2020) - [i13]Zhuofeng Wu, Sinong Wang, Jiatao Gu, Madian Khabsa, Fei Sun, Hao Ma:
CLEAR: Contrastive Learning for Sentence Representation. CoRR abs/2012.15466 (2020) - [i12]Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
Studying Strategically: Learning to Mask for Closed-book QA. CoRR abs/2012.15856 (2020)
2010 – 2019
- 2019
- [j3]Sinong Wang, Jiashang Liu, Ness B. Shroff:
Fundamental Limits of Approximate Gradient Coding. Proc. ACM Meas. Anal. Comput. Syst. 3(3): 52:1-52:22 (2019) - [c11]Sinong Wang, Jiashang Liu, Ness B. Shroff, Pengyu Yang:
Computation Efficient Coded Linear Transform. AISTATS 2019: 577-585 - [i11]Sinong Wang, Jiashang Liu, Ness B. Shroff:
Fundamental Limits of Approximate Gradient Coding. CoRR abs/1901.08166 (2019) - [i10]Jiezhong Qiu, Hao Ma, Omer Levy, Scott Wen-tau Yih, Sinong Wang, Jie Tang:
Blockwise Self-Attention for Long Document Understanding. CoRR abs/1911.02972 (2019) - 2018
- [c10]Jiashang Liu, Joohyun Lee
A Near-Optimal Control Policy in Cloud Systems with Renewable Sources and Time-Dependent Energy Price. IEEE CLOUD 2018: 702-709 - [c9]Sinong Wang, Jiashang Liu, Ness B. Shroff:
Coded Sparse Matrix Multiplication. ICML 2018: 5139-5147 - [c8]Fang Liu, Sinong Wang, Swapna Buccapatnam, Ness B. Shroff:
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits. IJCAI 2018: 2440-2446 - [c7]Sinong Wang, Ness B. Shroff:
Towards Fast-Convergence, Low-Delay and Low-Complexity Network Optimization. SIGMETRICS (Abstracts) 2018: 129-131 - [i9]Sinong Wang, Jiashang Liu, Ness B. Shroff:
Coded Sparse Matrix Multiplication. CoRR abs/1802.03430 (2018) - [i8]Fang Liu, Sinong Wang, Swapna Buccapatnam, Ness B. Shroff:
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits. CoRR abs/1804.05929 (2018) - [i7]Sinong Wang, Jiashang Liu, Ness B. Shroff, Pengyu Yang:
Fundamental Limits of Coded Linear Transform. CoRR abs/1804.09791 (2018) - 2017
- [j2]Sinong Wang, Ness B. Shroff:
Security Game with Non-additive Utilities and Multiple Attacker Resources. Proc. ACM Meas. Anal. Comput. Syst. 1(1): 13:1-13:32 (2017) - [j1]Sinong Wang, Ness B. Shroff:
Towards Fast-Convergence, Low-Delay and Low-Complexity Network Optimization. Proc. ACM Meas. Anal. Comput. Syst. 1(2): 34:1-34:32 (2017) - [c6]Sinong Wang, Fang Liu, Ness B. Shroff:
Non-Additive Security Games. AAAI 2017: 728-735 - [c5]Sinong Wang, Ness B. Shroff:
A New Alternating Direction Method for Linear Programming. NIPS 2017: 1480-1488 - [c4]Sinong Wang, Ness B. Shroff:
Security Game with Non-additive Utilities and Multiple Attacker Resources. SIGMETRICS (Abstracts) 2017: 10 - [i6]Sinong Wang, Ness B. Shroff:
Security Game with Non-additive Utilities and Multiple Attacker Resources. CoRR abs/1701.08644 (2017) - [i5]Sinong Wang, Ness B. Shroff:
Towards Fast-Convergence, Low-Delay and Low-Complexity Network Optimization. CoRR abs/1707.05398 (2017) - 2016
- [i4]Sinong Wang, Fang Liu, Ness B. Shroff:
Non-additive Security Game. CoRR abs/1603.00749 (2016) - 2015
- [c3]Sinong Wang, Xiaohua Tian, Hui Liu:
Exploiting the unexploited of coded caching for wireless content distribution. ICNC 2015: 700-706 - [i3]Sinong Wang, Wenxin Li, Xiaohua Tian, Hui Liu:
Fundamental Limits of Heterogenous Cache. CoRR abs/1504.01123 (2015) - [i2]Wei Huang, Sinong Wang, Lianghui Ding, Feng Yang, Wenjun Zhang:
The Performance Analysis of Coded Cache in Wireless Fading Channel. CoRR abs/1504.01452 (2015) - 2014
- [c2]Zhe Liu, Sinong Wang, Weijie Wu, Xiaohua Tian, Changle Li, Xinbing Wang:
A predictive methodology for truthful double spectrum auctions in cognitive radio networks. GLOBECOM 2014: 1017-1022 - [i1]Sinong Wang, Xiaohua Tian, Hui Liu:
Exploiting the Unexploited of Coded Caching for Wireless Content Distribution: Detailed Theoretical Proofs. CoRR abs/1407.1402 (2014) - 2013
- [c1]Sinong Wang, Huaxi Gu
A New Approach to Multi-objective Virtual Machine Placement in Virtualized Data Center. NAS 2013: 331-335
Coauthor Index
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last updated on 2024-11-28 20:34 CET by the dblp team
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