Best AI papers explained
Un pódcast de Enoch H. Kang
526 Episodo
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Conjoint Analysis: Methods, Applications, and Recent Developments
Publicado: 11/4/2025 -
Current Issues and a “Wish List” for Conjoint Analysis
Publicado: 11/4/2025 -
Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis
Publicado: 11/4/2025 -
Adaptive Polyhedral Methods for Conjoint Analysis
Publicado: 11/4/2025 -
MSL: Enhancing LLM Recommenders via Masked Softmax Loss
Publicado: 11/4/2025 -
Self-Supervised Deep Reinforcement Learning for Optimal Question Ranking
Publicado: 11/4/2025 -
Adaptive Language Elicitation for Latent Information Discovery
Publicado: 10/4/2025 -
LLM Persona Bias: Promise and Peril in Simulation
Publicado: 10/4/2025 -
AutoTools: Automating Tool Use for Large Language Models
Publicado: 10/4/2025 -
Tool Learning with Large Language Models: A Comprehensive Survey
Publicado: 10/4/2025 -
All Roads Lead to Likelihood: RL for Fine-Tuning Value
Publicado: 8/4/2025 -
ATLAS: Tuning Agents via Critical Step Learning
Publicado: 8/4/2025 -
Thinking Faster by Writing Less: Chain of Draft Reasoning
Publicado: 8/4/2025 -
Meta Plan Optimization for Boosting LLM Agents
Publicado: 8/4/2025 -
L1: Length Controlled Reasoning with Reinforcement Learning
Publicado: 8/4/2025 -
WikiBigEdit: Benchmarking Lifelong Knowledge Editing in LLMs
Publicado: 8/4/2025 -
PLAN-AND-ACT: LLM Agent Planning with Synthetic Data
Publicado: 8/4/2025 -
SEARCH-R1: LLMs Learn to Reason and Search via Reinforcement Learning
Publicado: 8/4/2025 -
The Theory of the Firm: Information, Incentives, and Organization
Publicado: 8/4/2025 -
Four Formalizable Theories of the Firm
Publicado: 8/4/2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
