Best AI papers explained
A podcast by Enoch H. Kang
528 Episoade
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Proprietary Reward Models: Sustaining Advantage in Agentic AI
Publicat: 13.04.2025 -
Why Multi-Agent LLM Systems Fail: A Comprehensive Study
Publicat: 12.04.2025 -
Play2Prompt: Zero-Shot Tool Instruction Optimization via Tool Play
Publicat: 12.04.2025 -
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Publicat: 12.04.2025 -
API and GUI Agents: Divergence, Convergence, and Hybrid Approaches
Publicat: 12.04.2025 -
AI, Chess, and Competitive Advantage: Substitution and Complementation
Publicat: 12.04.2025 -
Knowledge of the Firm and Replication of Technology
Publicat: 12.04.2025 -
Firm Resources and Sustained Competitive Advantage
Publicat: 12.04.2025 -
Evaluating Pharmaceutical Marketing to Physicians with Panel Data
Publicat: 12.04.2025 -
Theory of the firm in the era of Agents
Publicat: 12.04.2025 -
Large Language Models: An Applied Econometric Framework
Publicat: 12.04.2025 -
Evaluating the World Model Implicit in a Generative Model
Publicat: 12.04.2025 -
Machine Learning for Hypothesis Generation in Social Science
Publicat: 11.04.2025 -
Active Learning for Moral Preference Elicitation: Challenges and Nuances
Publicat: 11.04.2025 -
Gradient-Based Surveys for Nonparametric Discrete Choice Experiments
Publicat: 11.04.2025 -
Explainable Data-driven Share-of-choice Product Line Design Optimization
Publicat: 11.04.2025 -
The More You Ask, the Less You Get: When Additional Questions Hurt External Validity
Publicat: 11.04.2025 -
Conjoint topics from Handbook of Marketing Analytics: Methods and Applications
Publicat: 11.04.2025 -
Choice-Based Conjoint Analysis: Methods and Applications
Publicat: 11.04.2025 -
Beyond Conjoint Analysis: The Future of Preference Measurement
Publicat: 11.04.2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
