Best AI papers explained

145 Episodes

1. Current Issues and a “Wish List” for Conjoint Analysis

   Published: 4/11/2025
2. Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis

   Published: 4/11/2025
3. Adaptive Polyhedral Methods for Conjoint Analysis

   Published: 4/11/2025
4. MSL: Enhancing LLM Recommenders via Masked Softmax Loss

   Published: 4/11/2025
5. Self-Supervised Deep Reinforcement Learning for Optimal Question Ranking

   Published: 4/11/2025
6. Adaptive Language Elicitation for Latent Information Discovery

   Published: 4/10/2025
7. LLM Persona Bias: Promise and Peril in Simulation

   Published: 4/10/2025
8. AutoTools: Automating Tool Use for Large Language Models

   Published: 4/10/2025
9. Tool Learning with Large Language Models: A Comprehensive Survey

   Published: 4/10/2025
10. All Roads Lead to Likelihood: RL for Fine-Tuning Value

    Published: 4/8/2025
11. ATLAS: Tuning Agents via Critical Step Learning

    Published: 4/8/2025
12. Thinking Faster by Writing Less: Chain of Draft Reasoning

    Published: 4/8/2025
13. Meta Plan Optimization for Boosting LLM Agents

    Published: 4/8/2025
14. L1: Length Controlled Reasoning with Reinforcement Learning

    Published: 4/8/2025
15. WikiBigEdit: Benchmarking Lifelong Knowledge Editing in LLMs

    Published: 4/8/2025
16. PLAN-AND-ACT: LLM Agent Planning with Synthetic Data

    Published: 4/8/2025
17. SEARCH-R1: LLMs Learn to Reason and Search via Reinforcement Learning

    Published: 4/8/2025
18. The Theory of the Firm: Information, Incentives, and Organization

    Published: 4/8/2025
19. Four Formalizable Theories of the Firm

    Published: 4/8/2025
20. Efficient Tool Use with Chain-of-Abstraction Reasoning

    Published: 4/6/2025