Karthik Abinav Sankararaman

1. Effective Long-Context Scaling of Foundation Models
   2023/09/27 by Wenhan Xiong, Jingyu Liu, Xiong, Wenhan +40 · 2 voices · 42 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 · 23 citations
   Computer Science · #Natural Language Processing Techniques #Mathematics, Computing, and Information Processing
3. The Impact of Neural Network Overparameterization on Gradient Confusion\n and Stochastic Gradient Descent
   2019/04/15 by Karthik Abinav Sankararaman, Soham De, Sankararaman, Karthik A. +7 · 7 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
4. Combinatorial Semi-Bandits with Knapsacks
   2017/05/23 by Karthik Abinav Sankararaman, Sankararaman, Karthik Abinav, Aleksandrs Slivkins +1 · 5 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 · 6 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 · 5 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. Beyond log²(T) Regret for Decentralized Bandits in Matching Markets
   2021/03/12 by Soumya Basu, Basu, Soumya, Karthik Abinav Sankararaman +3 · 4 citations
   Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Mobile Crowdsensing and Crowdsourcing
8. The Perfect Blend: Redefining RLHF with Mixture of Judges
   2024/09/30 by Tengyu Xu, Xu, Tengyu, Eryk Helenowski +37 · 2 voices · 5 citations
   #cs.LG #cs.AI #cs.CL
9. 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
10. Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
    2025/01/29 by Zishun Yu, Yu, Zishun, Tengyu Xu +20 · 7 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. Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship
    2020/06/26 by Abishek Sankararaman, Soumya Basu, Sankararaman, Abishek +3 · 1 citation
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Optimization and Search Problems
12. Reinforcement Learning from User Feedback
    2025/05/20 by Han, Eric, Jun Chen, Chen, Jun +18 · 3 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
13. 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