Best AI papers explained

530 Episoade

1. Choice-Based Conjoint Analysis: Methods and Applications

   Publicat: 11.04.2025
2. Beyond Conjoint Analysis: The Future of Preference Measurement

   Publicat: 11.04.2025
3. An Optimization Framework for Adaptive Questionnaire Design

   Publicat: 11.04.2025
4. Adaptive Self-Explication of Multiattribute Preferences

   Publicat: 11.04.2025
5. Conjoint Analysis: Methods, Applications, and Recent Developments

   Publicat: 11.04.2025
6. Current Issues and a “Wish List” for Conjoint Analysis

   Publicat: 11.04.2025
7. Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis

   Publicat: 11.04.2025
8. Adaptive Polyhedral Methods for Conjoint Analysis

   Publicat: 11.04.2025
9. MSL: Enhancing LLM Recommenders via Masked Softmax Loss

   Publicat: 11.04.2025
10. Self-Supervised Deep Reinforcement Learning for Optimal Question Ranking

    Publicat: 11.04.2025
11. Adaptive Language Elicitation for Latent Information Discovery

    Publicat: 10.04.2025
12. LLM Persona Bias: Promise and Peril in Simulation

    Publicat: 10.04.2025
13. AutoTools: Automating Tool Use for Large Language Models

    Publicat: 10.04.2025
14. Tool Learning with Large Language Models: A Comprehensive Survey

    Publicat: 10.04.2025
15. All Roads Lead to Likelihood: RL for Fine-Tuning Value

    Publicat: 08.04.2025
16. ATLAS: Tuning Agents via Critical Step Learning

    Publicat: 08.04.2025
17. Thinking Faster by Writing Less: Chain of Draft Reasoning

    Publicat: 08.04.2025
18. Meta Plan Optimization for Boosting LLM Agents

    Publicat: 08.04.2025
19. L1: Length Controlled Reasoning with Reinforcement Learning

    Publicat: 08.04.2025
20. WikiBigEdit: Benchmarking Lifelong Knowledge Editing in LLMs

    Publicat: 08.04.2025