Hao Ma

83 papers A* 21A 11Journal 34Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment.
CoRR
Chaoqi Wang, Zhuokai Zhao, Yibo Jiang, Zhaorun Chen, Chen Zhu, Yuxin Chen, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Hao Ma, Sinong Wang
2025 — conf
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation.
ACL (2)
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, Hao Ma
2025 J jnl
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation.
CoRR
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, Hao Ma
2025 J jnl
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback.
CoRR
Yen-Ting Lin, Di Jin, Tengyu Xu, Tianhao Wu, Sainbayar Sukhbaatar, Chen Zhu, Yun He, Yun-Nung Chen, Jason Weston, Yuandong Tian, Arash Rahnama, Sinong Wang, Hao Ma, Han Fang
2025 A* conf
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization.
ICML
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
2025 J jnl
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization.
CoRR
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
2024 — conf
Effective Long-Context Scaling of Foundation Models.
NAACL-HLT
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
2024 J jnl
Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following.
CoRR
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
2024 J jnl
Preference Optimization with Multi-Sample Comparisons.
CoRR
Chaoqi Wang, Zhuokai Zhao, Chen Zhu, Karthik Abinav Sankararaman, Michal Valko, Xuefei Cao, Zhaorun Chen, Madian Khabsa, Yuxin Chen, Hao Ma, Sinong Wang
2024 J jnl
The Perfect Blend: Redefining RLHF with Mixture of Judges.
CoRR
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
2023 J jnl
Effective Long-Context Scaling of Foundation Models.
CoRR
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
2022 — conf
IDPG: An Instance-Dependent Prompt Generation Method.
NAACL-HLT
Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma
2022 J jnl
IDPG: An Instance-Dependent Prompt Generation Method.
CoRR
Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma
2022 A* conf
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation.
EMNLP
Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma
2022 — conf
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction.
EMNLP (Findings)
Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma
2022 — conf
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning.
ACL (1)
Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa
2021 J jnl
Entailment as Few-Shot Learner.
CoRR
Sinong Wang, Han Fang, Madian Khabsa, Hanzi Mao, Hao Ma
2021 A* conf
Luna: Linear Unified Nested Attention.
NeurIPS
Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer
2021 J jnl
Luna: Linear Unified Nested Attention.
CoRR
Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer
2021 — conf
On Unifying Misinformation Detection.
NAACL-HLT
Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa
2021 J jnl
On Unifying Misinformation Detection.
CoRR
Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa
2021 — conf
On the Influence of Masking Policies in Intermediate Pre-training.
EMNLP (1)
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
2021 J jnl
On the Influence of Masking Policies in Intermediate Pre-training.
CoRR
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
2021 J jnl
Reducing Target Group Bias in Hate Speech Detectors.
CoRR
Darsh J. Shah, Sinong Wang, Han Fang, Hao Ma, Luke Zettlemoyer
2021 J jnl
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning.
CoRR
Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Wen-tau Yih, Madian Khabsa
2020 — conf
Blockwise Self-Attention for Long Document Understanding.
EMNLP (Findings)
Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang
2020 J jnl
CLEAR: Contrastive Learning for Sentence Representation.
CoRR
Zhuofeng Wu, Sinong Wang, Jiatao Gu, Madian Khabsa, Fei Sun, Hao Ma
2020 J jnl
Language Models as Fact Checkers?
CoRR
Nayeon Lee, Belinda Z. Li, Sinong Wang, Wen-tau Yih, Hao Ma, Madian Khabsa
2020 J jnl
Linformer: Self-Attention with Linear Complexity.
CoRR
Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, Hao Ma
2020 J jnl
Studying Strategically: Learning to Mask for Closed-book QA.
CoRR
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
2020 J jnl
To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks.
CoRR
Sinong Wang, Madian Khabsa, Hao Ma
2020 A* conf
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks.
ACL
Sinong Wang, Madian Khabsa, Hao Ma
2019 J jnl
Blockwise Self-Attention for Long Document Understanding.
CoRR
Jiezhong Qiu, Hao Ma, Omer Levy, Scott Wen-tau Yih, Sinong Wang, Jie Tang
2019 A* conf
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization.
WWW
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
2019 J jnl
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization.
CoRR
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
2018 — conf
A Web-scale system for scientific knowledge exploration.
ACL (4)
Zhihong Shen, Hao Ma, Kuansan Wang
2018 J jnl
A Web-scale system for scientific knowledge exploration.
CoRR
Zhihong Shen, Hao Ma, Kuansan Wang
2018 J jnl
Collaboration Diversity and Scientific Impact.
CoRR
Yuxiao Dong, Hao Ma, Jie Tang, Kuansan Wang
2018 A* conf
DeepInf: Social Influence Prediction with Deep Learning.
KDD
Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang
2018 J jnl
DeepInf: Social Influence Prediction with Deep Learning.
CoRR
Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang
2018 A conf
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs.
UAI
Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung
2018 J jnl
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs.
CoRR
Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung
2018 A conf
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec.
WSDM
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang
2018 — ch.
Social Recommendation in Dynamic Networks.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Hao Ma, Irwin King, Michael R. Lyu
2017 A* conf
A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations.
KDD
Yuxiao Dong, Hao Ma, Zhihong Shen, Kuansan Wang
2017 J jnl
A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations.
CoRR
Yuxiao Dong, Hao Ma, Zhihong Shen, Kuansan Wang
2017 J jnl
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec.
CoRR
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang
2016 — conf
Question Answering with Knowledge Base, Web and Beyond.
HLT-NAACL Tutorials
Wen-tau Yih, Hao Ma
2016 A* conf
Question Answering with Knowledge Base, Web and Beyond.
SIGIR
Wen-tau Yih, Hao Ma
2016 A* conf
Table Cell Search for Question Answering.
WWW
Huan Sun, Hao Ma, Xiaodong He, Wen-tau Yih, Yu Su, Xifeng Yan
2016 A* conf
User Fatigue in Online News Recommendation.
WWW
Hao Ma, Xueqing Liu, Zhihong Shen
2015 — conf
An Introduction to Entity Recommendation and Understanding.
WWW (Companion Volume)
Hao Ma, Yan Ke
2015 — conf
An Overview of Microsoft Academic Service (MAS) and Applications.
WWW (Companion Volume)
Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June Paul Hsu, Kuansan Wang
2015 A conf
Learning to Recommend Related Entities to Search Users.
WSDM
Bin Bi, Hao Ma, Bo-June Paul Hsu, Wei Chu, Kuansan Wang, Junghoo Cho
2015 A* conf
Open Domain Question Answering via Semantic Enrichment.
WWW
Huan Sun, Hao Ma, Wen-tau Yih, Chen-Tse Tsai, Jingjing Liu, Ming-Wei Chang
2014 — conf
E2E: An End-to-End Entity Linking System for Short and Noisy Text.
#MSM
Ming-Wei Chang, Bo-June Paul Hsu, Hao Ma, Ricky Loynd, Kuansan Wang
2014 A conf
On building entity recommender systems using user click log and freebase knowledge.
WSDM
Xiao Yu, Hao Ma, Bo-June Paul Hsu, Jiawei Han
2014 A* conf
On measuring social friend interest similarities in recommender systems.
SIGIR
Hao Ma
2014 — ch.
Social Recommendation in Dynamic Networks.
Encyclopedia of Social Network Analysis and Mining
Hao Ma, Irwin King, Michael R. Lyu
2013 A* conf
An experimental study on implicit social recommendation.
SIGIR
Hao Ma
2013 J jnl
Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization.
IEEE Trans. Serv. Comput.
Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King
2013 A* conf
Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance.
WWW
Yang Song, Hao Ma, Hongning Wang, Kuansan Wang
2012 J jnl
Mining Web Graphs for Recommendations.
IEEE Trans. Knowl. Data Eng.
Hao Ma, Irwin King, Michael R. Lyu
2011 J jnl
Improving Recommender Systems by Incorporating Social Contextual Information.
ACM Trans. Inf. Syst.
Hao Ma, Tom Chao Zhou, Michael R. Lyu, Irwin King
2011 J jnl
Learning to recommend with explicit and implicit social relations.
ACM Trans. Intell. Syst. Technol.
Hao Ma, Irwin King, Michael R. Lyu
2011 A* conf
Mining test oracles of web search engines.
ASE
Wujie Zheng, Hao Ma, Michael R. Lyu, Tao Xie, Irwin King
2011 A* conf
Probabilistic factor models for web site recommendation.
SIGIR
Hao Ma, Chao Liu, Irwin King, Michael R. Lyu
2011 J jnl
QoS-Aware Web Service Recommendation by Collaborative Filtering.
IEEE Trans. Serv. Comput.
Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King
2011 A conf
Recommender systems with social regularization.
WSDM
Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, Irwin King
2010 J jnl
Bridging the Semantic Gap Between Image Contents and Tags.
IEEE Trans. Multim.
Hao Ma, Jianke Zhu, Michael R. Lyu, Irwin King
2010 A* conf
Diversifying Query Suggestion Results.
AAAI
Hao Ma, Michael R. Lyu, Irwin King
2010 A* conf
Introduction to social recommendation.
WWW
Irwin King, Michael R. Lyu, Hao Ma
2010 — —
Learning to recommend.
Hao Ma
2010 A* conf
UserRec: A User Recommendation Framework in Social Tagging Systems.
AAAI
Tom Chao Zhou, Hao Ma, Michael R. Lyu, Irwin King
2009 A* conf
Learning to recommend with social trust ensemble.
SIGIR
Hao Ma, Irwin King, Michael R. Lyu
2009 A conf
Learning to recommend with trust and distrust relationships.
RecSys
Hao Ma, Michael R. Lyu, Irwin King
2009 A conf
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering.
CIKM
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
2009 — conf
TagRec: Leveraging Tagging Wisdom for Recommendation.
CSE (4)
Tom Chao Zhou, Hao Ma, Irwin King, Michael R. Lyu
2009 A conf
WSRec: A Collaborative Filtering Based Web Service Recommender System.
ICWS
Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King
2008 A conf
Learning latent semantic relations from clickthrough data for query suggestion.
CIKM
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
2008 A conf
Mining social networks using heat diffusion processes for marketing candidates selection.
CIKM
Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King
2008 A conf
SoRec: social recommendation using probabilistic matrix factorization.
CIKM
Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King
2007 A* conf
Effective missing data prediction for collaborative filtering.
SIGIR
Hao Ma, Irwin King, Michael R. Lyu