A New Approach to Multi-objective Virtual Machine Placement in Virtualized Data Center. - Sinong Wang; Huaxi Gu; Gang Wu (NAS, 2013)

A predictive methodology for truthful double spectrum auctions in cognitive radio networks. - Zhe Liu 024; Sinong Wang; Weijie Wu; Xiaohua Tian; Changle Li; Xinbing Wang (GLOBECOM, 2014)

Exploiting the Unexploited of Coded Caching for Wireless Content Distribution: Detailed Theoretical Proofs. - Sinong Wang; Xiaohua Tian; Hui Liu 011 (CoRR, 2014)

Exploiting the unexploited of coded caching for wireless content distribution. - Sinong Wang; Xiaohua Tian; Hui Liu 011 (ICNC, 2015)

The Performance Analysis of Coded Cache in Wireless Fading Channel. - Wei Huang 012; Sinong Wang; Lianghui Ding; Feng Yang 006; Wenjun Zhang 001 (CoRR, 2015)

Fundamental Limits of Heterogenous Cache. - Sinong Wang; Wenxin Li; Xiaohua Tian; Hui Liu 011 (CoRR, 2015)

Non-additive Security Game. - Sinong Wang; Fang Liu 020; Ness B. Shroff (CoRR, 2016)

Non-Additive Security Games. - Sinong Wang; Fang Liu 020; Ness B. Shroff (AAAI, 2017)

A New Alternating Direction Method for Linear Programming. - Sinong Wang; Ness B. Shroff (NIPS, 2017)

Security Game with Non-additive Utilities and Multiple Attacker Resources. - Sinong Wang; Ness B. Shroff (Proc. ACM Meas. Anal. Comput. Syst., 2017)

Towards Fast-Convergence, Low-Delay and Low-Complexity Network Optimization. - Sinong Wang; Ness B. Shroff (Proc. ACM Meas. Anal. Comput. Syst., 2017)

A Near-Optimal Control Policy in Cloud Systems with Renewable Sources and Time-Dependent Energy Price. - Jiashang Liu; Joohyun Lee; Ness B. Shroff; Prasun Sinha; Sinong Wang (IEEE CLOUD, 2018)

Coded Sparse Matrix Multiplication. - Sinong Wang; Jiashang Liu; Ness B. Shroff (ICML, 2018)

UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits. - Fang Liu 020; Sinong Wang; Swapna Buccapatnam; Ness B. Shroff (IJCAI, 2018)

Fundamental Limits of Coded Linear Transform. - Sinong Wang; Jiashang Liu; Ness B. Shroff; Pengyu Yang (CoRR, 2018)

Computation Efficient Coded Linear Transform. - Sinong Wang; Jiashang Liu; Ness B. Shroff; Pengyu Yang (AISTATS, 2019)

Fundamental Limits of Approximate Gradient Coding. - Sinong Wang; Jiashang Liu; Ness B. Shroff (Proc. ACM Meas. Anal. Comput. Syst., 2019)

To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks. - Sinong Wang; Madian Khabsa; Hao Ma 001 (ACL, 2020)

Blockwise Self-Attention for Long Document Understanding. - Jiezhong Qiu; Hao Ma 001; Omer Levy; Wen-tau Yih; Sinong Wang; Jie Tang 001 (EMNLP (Findings), 2020)

Language Models as Fact Checkers? - Nayeon Lee; Belinda Z. Li; Sinong Wang; Wen-tau Yih; Hao Ma 001; Madian Khabsa (CoRR, 2020)

Linformer: Self-Attention with Linear Complexity. - Sinong Wang; Belinda Z. Li; Madian Khabsa; Han Fang; Hao Ma 001 (CoRR, 2020)

To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks. - Sinong Wang; Madian Khabsa; Hao Ma 001 (CoRR, 2020)

CLEAR: Contrastive Learning for Sentence Representation. - Zhuofeng Wu 001; Sinong Wang; Jiatao Gu; Madian Khabsa; Fei Sun; Hao Ma 001 (CoRR, 2020)

Studying Strategically: Learning to Mask for Closed-book QA. - Qinyuan Ye; Belinda Z. Li; Sinong Wang; Benjamin Bolte; Hao Ma 001; Wen-tau Yih; Xiang Ren 001; Madian Khabsa (CoRR, 2020)

On the Influence of Masking Policies in Intermediate Pre-training. - Qinyuan Ye; Belinda Z. Li; Sinong Wang; Benjamin Bolte; Hao Ma 001; Wen-tau Yih; Xiang Ren 001; Madian Khabsa (EMNLP (1), 2021)

On Unifying Misinformation Detection. - Nayeon Lee; Belinda Z. Li; Sinong Wang; Pascale Fung; Hao Ma 001; Wen-tau Yih; Madian Khabsa (NAACL-HLT, 2021)

Luna: Linear Unified Nested Attention. - Xuezhe Ma; Xiang Kong; Sinong Wang; Chunting Zhou; Jonathan May; Hao Ma 001; Luke Zettlemoyer (NeurIPS, 2021)

Entailment as Few-Shot Learner. - Sinong Wang; Han Fang; Madian Khabsa; Hanzi Mao; Hao Ma 001 (CoRR, 2021)

Sparse Distillation: Speeding Up Text Classification by Using Bigger Models. - Qinyuan Ye; Madian Khabsa; Mike Lewis; Sinong Wang; Xiang Ren 001; Aaron Jaech (CoRR, 2021)

Reducing Target Group Bias in Hate Speech Detectors. - Darsh J. Shah; Sinong Wang; Han Fang; Hao Ma 001; Luke Zettlemoyer (CoRR, 2021)

Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. - Khalil Mrini; Shaoliang Nie; Jiatao Gu; Sinong Wang; Maziar Sanjabi; Hamed Firooz (ACL (Findings), 2022)

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation. - Qifan Wang 001; Li Yang; Xiaojun Quan; Fuli Feng; Dongfang Liu; Zenglin Xu; Sinong Wang; Hao Ma 001 (EMNLP, 2022)

SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction. - Qifan Wang 001; Li Yang; Jingang Wang; Jitin Krishnan; Bo Dai 001; Sinong Wang; Zenglin Xu; Madian Khabsa; Hao Ma 001 (EMNLP (Findings), 2022)

IDPG: An Instance-Dependent Prompt Generation Method. - Zhuofeng Wu 001; Sinong Wang; Jiatao Gu; Rui Hou; Yuxiao Dong; V. G. Vinod Vydiswaran; Hao Ma 001 (NAACL-HLT, 2022)

Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. - Qinyuan Ye; Madian Khabsa; Mike Lewis; Sinong Wang; Xiang Ren 001; Aaron Jaech (NAACL-HLT, 2022)

BayesFormer: Transformer with Uncertainty Estimation. - Karthik Abinav Sankararaman; Sinong Wang; Han Fang (CoRR, 2022)

Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler. - Yifang Chen; Karthik Abinav Sankararaman; Alessandro Lazaric; Matteo Pirotta; Dmytro Karamshuk; Qifan Wang 001; Karishma Mandyam; Sinong Wang; Han Fang (CoRR, 2022)

MUSTIE: Multimodal Structural Transformer for Web Information Extraction. - Qifan Wang 001; Jingang Wang; Xiaojun Quan; Fuli Feng; Zenglin Xu; Shaoliang Nie; Sinong Wang; Madian Khabsa; Hamed Firooz; Dongfang Liu (ACL (1), 2023)

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. - Li Yang; Qifan Wang 001; Jingang Wang; Xiaojun Quan; Fuli Feng; Yu Chen 022; Madian Khabsa; Sinong Wang; Zenglin Xu; Dongfang Liu (ACL (Findings), 2023)

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. - Ajinkya Tejankar; Maziar Sanjabi; Qifan Wang 001; Sinong Wang; Hamed Firooz; Hamed Pirsiavash; Liang Tan 005 (CVPR, 2023)

Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix. - Kuan-Hao Huang; Liang Tan; Rui Hou; Sinong Wang; Amjad Almahairi; Ruty Rinott (EMNLP (Findings), 2023)

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. - Qifan Wang 001; Yuning Mao; Jingang Wang; Hanchao Yu; Shaoliang Nie; Sinong Wang; Fuli Feng; Lifu Huang; Xiaojun Quan; Zenglin Xu; Dongfang Liu (EMNLP, 2023)

Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes. - Kuan-Hao Huang; Liang Tan; Rui Hou; Sinong Wang; Amjad Almahairi; Ruty Rinott (CoRR, 2023)

LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models. - Chi Han; Qifan Wang 001; Wenhan Xiong; Yu Chen 022; Heng Ji 001; Sinong Wang (CoRR, 2023)

Representation Deficiency in Masked Language Modeling. - Yu Meng 001; Jitin Krishnan; Sinong Wang; Qifan Wang 001; Yuning Mao; Han Fang; Marjan Ghazvininejad; Jiawei Han 001; Luke Zettlemoyer (ICLR, 2024)

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. - Chi Han; Qifan Wang 001; Hao Peng 009; Wenhan Xiong; Yu Chen 022; Heng Ji 001; Sinong Wang (NAACL-HLT, 2024)

Effective Long-Context Scaling of Foundation Models. - 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; et al. (NAACL-HLT, 2024)

SPAR: Personalized Content-Based Recommendation via Long Engagement Attention. - Chiyu Zhang; Yifei Sun; Jun Chen; Jie Lei; Muhammad Abdul-Mageed; Sinong Wang; Rong Jin 001; Sem Park; Ning Yao; Bo Long (CoRR, 2024)

Phonetic and Lexical Discovery of a Canine Language using HuBERT. - Xingyuan Li; Sinong Wang; Zeyu Xie; Mengyue Wu; Kenny Q. Zhu (CoRR, 2024)

The Perfect Blend: Redefining RLHF with Mixture of Judges. - 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; et al. (CoRR, 2024)

Preference Optimization with Multi-Sample Comparisons. - Chaoqi Wang; Zhuokai Zhao; Chen Zhu; Karthik Abinav Sankararaman; Michal Valko; Xuefei Cao; Zhaorun Chen; Madian Khabsa; Yuxin Chen; Hao Ma 001; Sinong Wang (CoRR, 2024)

Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following. - Yun He; Di Jin; Chaoqi Wang; Chloe Bi; Karishma Mandyam; Hejia Zhang; Chen Zhu; Ning Li; Tengyu Xu; Hongjiang Lv; Shruti Bhosale; Chenguang Zhu 001; et al. (CoRR, 2024)

Improving Model Factuality with Fine-grained Critique-based Evaluator. - 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 (ACL (1), 2025)

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment. - Chaoqi Wang; Zhuokai Zhao; Yibo Jiang; Zhaorun Chen; Chen Zhu; Yuxin Chen; Jiayi Liu; Lizhu Zhang; Xiangjun Fan; Hao Ma 001; Sinong Wang (CoRR, 2025)

Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback. - Yen-Ting Lin; Di Jin; Tengyu Xu; Tianhao Wu 002; Sainbayar Sukhbaatar; Chen Zhu; Yun He; Yun-Nung Chen; Jason Weston; Yuandong Tian; Arash Rahnama; Sinong Wang; et al. (CoRR, 2025)

Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization. - Zishun Yu; Tengyu Xu; Di Jin; Karthik Abinav Sankararaman; Yun He; Wenxuan Zhou; Zhouhao Zeng; Eryk Helenowski; Chen Zhu; Sinong Wang; Hao Ma; Han Fang (CoRR, 2025)

Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation. - Chengwei Qin; Wenxuan Zhou; Karthik Abinav Sankararaman; Nanshu Wang; Tengyu Xu; Alexander Radovic; Eryk Helenowski; Arya Talebzadeh; Aditya Tayade; Sinong Wang; Shafiq Joty; Han Fang; et al. (CoRR, 2025)

Reinforcement Learning from User Feedback. - Eric Han; Jun Chen; Karthik Abinav Sankararaman; Xiaoliang Peng; Tengyu Xu; Eryk Helenowski; Kaiyan Peng; Mrinal Kumar 005; Sinong Wang; Han Fang; Arya Talebzadeh (CoRR, 2025)

High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning. - Tim Franzmeyer; Archie Sravankumar; Lijuan Liu; Yuning Mao; Rui Hou; Sinong Wang; Jakob N. Foerster; Luke Zettlemoyer; Madian Khabsa (CoRR, 2025)

Boosting LLM Reasoning via Spontaneous Self-Correction. - Xutong Zhao; Tengyu Xu; Xuewei Wang; Zhengxing Chen; Di Jin; Liang Tan; Yen-Ting; Zishun Yu; Zhuokai Zhao; Yun He; Sinong Wang; Han Fang; et al. (CoRR, 2025)