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Social Sciences 论文解读
Social Sciences 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation
D. Garg, Priyanka Gupta, +3
arXiv (Cornell University)
|
2020
|
9 citations
Bayesian inference for the stochastic identification of elastoplastic material parameters: Introduction, misconceptions and additional insight.
Hussein Rappel, Lars Beex, +2
arXiv (Cornell University)
|
2016
|
9 citations
Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions
Weiran Shen, Zihe Wang, +1
arXiv (Cornell University)
|
2019
|
9 citations
Bayesian Optimization under Heavy-tailed Payoffs
Sayak Ray Chowdhury, Aditya Gopalan
arXiv (Cornell University)
|
2019
|
9 citations
Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare
Tyler Lu, Pingzhong Tang, +2
arXiv (Cornell University)
|
2012
|
9 citations
Bell Tests for Histories
Jodan Cotler, Frank Wilczek
arXiv (Cornell University)
|
2015
|
9 citations
Better Call GPT, Comparing Large Language Models Against Lawyers
Lauren Martin, Nick Whitehouse, +3
arXiv (Cornell University)
|
2024
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9 citations
Bias, Fairness, and Accountability with AI and ML Algorithms
Nengfeng Zhou, Zach Zhang, +4
arXiv (Cornell University)
|
2021
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9 citations
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
Shashank Gupta, Vaishnavi Shrivastava, +5
arXiv (Cornell University)
|
2023
|
9 citations
Biases in Data Science Lifecycle
Dinh-An Ho, Oya Beyan
arXiv (Cornell University)
|
2020
|
9 citations
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