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Sankararaman, Karthik Abinav

  1. Effective Long-Context Scaling of Foundation Models
    2023/09/27 by Wenhan Xiong, Xiong, Wenhan, Jingyu Liu +40 · 2 voices · 50 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
  2. Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following
    2024/10/21 by Yun He, He, Yun, Di Jin +35 · 31 citations
    Computer Science · #Natural Language Processing Techniques #Mathematics, Computing, and Information Processing
  3. Adversarial Bandits with Knapsacks
    2018/11/28 by Nicole Immorlica, Immorlica, Nicole, Sankararaman, Karthik Abinav +4 · 7 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems
  4. Combinatorial Semi-Bandits with Knapsacks
    2017/05/23 by Karthik Abinav Sankararaman, Sankararaman, Karthik Abinav, Aleksandrs Slivkins +1 · 6 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Optimization and Search Problems #Machine Learning and Algorithms
  5. Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
    2023/06/13 by Yao Fan, Yao, Fan, Chuanhao Li +13 · 8 citations
    Decision Sciences · Social Sciences · #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Game Theory and Applications
  6. BayesFormer: Transformer with Uncertainty Estimation
    2022/06/02 by Karthik Abinav Sankararaman, Sankararaman, Karthik Abinav, Sinong Wang +3 · 6 citations
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Model Reduction and Neural Networks
  7. The Perfect Blend: Redefining RLHF with Mixture of Judges
    2024/09/30 by Tengyu Xu, T. Xu, Xu, Tengyu +39 · 2 voices · 8 citations
    Social Sciences · #Judicial and Constitutional Studies #Legal Education and Practice Innovations #Legal Systems and Judicial Processes #cs.AI #cs.CL #cs.LG
  8. Beyond log2(T) Regret for Decentralized Bandits in Matching Markets
    2021/03/12 by Soumya Basu, Basu, Soumya, Karthik Abinav Sankararaman +3 · 5 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Mobile Crowdsensing and Crowdsourcing
  9. Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression
    2022/11/14 by Slivkins, Aleksandrs, Zhou, Xingyu, Sankararaman, Karthik Abinav +1 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
    2025/01/29 by Zishun Yu, Yu, Zishun, Tengyu Xu +20 · 10 citations
    Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning
  11. Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours
    2019/12/18 by Vedant Nanda, Nanda, Vedant, Pan Xu +7 · 2 citations
    Business, Management and Accounting · Engineering · Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Digital Economy and Work Transformation #FOS: Computer and information sciences #Sharing Economy and Platforms #Transportation and Mobility Innovations
  12. Stochastic Bandits for Multi-platform Budget Optimization in Online Advertising
    2021/03/16 by Avadhanula, Vashist, Colini-Baldeschi, Riccardo, Leonardi, Stefano +2 · 2 citations
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship
    2020/06/26 by Abishek Sankararaman, Soumya Basu, Sankararaman, Abishek +3 · 2 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Optimization and Search Problems
  14. Online Stochastic Matching: New Algorithms and Bounds
    2016/06/21 by Brubach, Brian, Sankararaman, Karthik Abinav, Srinivasan, Aravind +1 · 1 citation
    #Combinatorics (math.CO) #Computer Science and Game Theory (cs.GT) #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Probability (math.PR)
  15. Reinforcement Learning from User Feedback
    2025/05/20 by Han, Eric, Jun Chen, Chen, Jun +18 · 4 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Innovation Diffusion and Forecasting #Reinforcement Learning in Robotics
  16. On the Equivalence of Graph Convolution and Mixup
    2023/09/29 by Han, Xiaotian, Zeng, Hanqing, Chen, Yu +9 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. Preference Optimization with Multi-Sample Comparisons
    2024/10/16 by Chaoqi Wang, Wang, Chaoqi, Zhao, Zhuokai +18 · 1 citation
    Decision Sciences · #Multi-Criteria Decision Making