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Social Sciences 논문 리뷰
Social Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation
D. Garg, Priyanka Gupta 외 3명
arXiv (Cornell University)
|
2020
|
9 회 인용
Bayesian inference for the stochastic identification of elastoplastic material parameters: Introduction, misconceptions and additional insight.
Hussein Rappel, Lars Beex 외 2명
arXiv (Cornell University)
|
2016
|
9 회 인용
Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions
Weiran Shen, Zihe Wang 외 1명
arXiv (Cornell University)
|
2019
|
9 회 인용
Bayesian Optimization under Heavy-tailed Payoffs
Sayak Ray Chowdhury, Aditya Gopalan
arXiv (Cornell University)
|
2019
|
9 회 인용
Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare
Tyler Lu, Pingzhong Tang 외 2명
arXiv (Cornell University)
|
2012
|
9 회 인용
Bell Tests for Histories
Jodan Cotler, Frank Wilczek
arXiv (Cornell University)
|
2015
|
9 회 인용
Better Call GPT, Comparing Large Language Models Against Lawyers
Lauren Martin, Nick Whitehouse 외 3명
arXiv (Cornell University)
|
2024
|
9 회 인용
Bias, Fairness, and Accountability with AI and ML Algorithms
Nengfeng Zhou, Zach Zhang 외 4명
arXiv (Cornell University)
|
2021
|
9 회 인용
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
Shashank Gupta, Vaishnavi Shrivastava 외 5명
arXiv (Cornell University)
|
2023
|
9 회 인용
Biases in Data Science Lifecycle
Dinh-An Ho, Oya Beyan
arXiv (Cornell University)
|
2020
|
9 회 인용
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