Best AI papers explained
A podcast by Enoch H. Kang
534 Episoade
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Thinking Faster by Writing Less: Chain of Draft Reasoning
Publicat: 08.04.2025 -
Meta Plan Optimization for Boosting LLM Agents
Publicat: 08.04.2025 -
L1: Length Controlled Reasoning with Reinforcement Learning
Publicat: 08.04.2025 -
WikiBigEdit: Benchmarking Lifelong Knowledge Editing in LLMs
Publicat: 08.04.2025 -
PLAN-AND-ACT: LLM Agent Planning with Synthetic Data
Publicat: 08.04.2025 -
SEARCH-R1: LLMs Learn to Reason and Search via Reinforcement Learning
Publicat: 08.04.2025 -
The Theory of the Firm: Information, Incentives, and Organization
Publicat: 08.04.2025 -
Four Formalizable Theories of the Firm
Publicat: 08.04.2025 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Publicat: 06.04.2025 -
CodeTool: Process Supervision for Enhanced LLM Tool Invocation
Publicat: 06.04.2025 -
Evaluating LLM Agents in Multi-Turn Conversations: A Survey
Publicat: 06.04.2025 -
Epistemic Alignment in User-LLM Knowledge Delivery
Publicat: 06.04.2025 -
MCP is (not) all you need
Publicat: 06.04.2025 -
AI, Human Skills, and Competitive Advantage in Chess
Publicat: 05.04.2025 -
Inference-Time Scaling for Generalist Reward Modeling
Publicat: 04.04.2025 -
Optimal Pure Exploration in Linear Bandits via Sampling
Publicat: 04.04.2025 -
Presidential Address: The Economist as Designer in the Innovation Process for Socially Impactful Digital Products
Publicat: 04.04.2025 -
Emergent Symbolic Mechanisms for Reasoning in Large Language Models
Publicat: 03.04.2025 -
Inference-Time Alignment: Coverage, Scaling, and Optimality
Publicat: 03.04.2025 -
Sharpe Ratio-Guided Active Learning for Preference Optimization
Publicat: 03.04.2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
