Best AI papers explained
A podcast by Enoch H. Kang
425 Episodes
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When and Why LLMs Fail to Reason Globally
Published: 5/31/2025 -
IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis
Published: 5/31/2025 -
No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
Published: 5/31/2025 -
Accelerating RL for LLM Reasoning with Optimal Advantage Regression
Published: 5/31/2025 -
Statistical Inference for Online Algorithms
Published: 5/31/2025 -
Prismatic Synthesis for Diverse LLM Reasoning Data
Published: 5/31/2025 -
Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents
Published: 5/31/2025 -
The Agentic Economy
Published: 5/30/2025 -
Statistics for Large Language Models
Published: 5/29/2025 -
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
Published: 5/29/2025 -
Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning
Published: 5/29/2025 -
Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL
Published: 5/29/2025 -
Value-Guided Search for Efficient Chain-of-Thought Reasoning
Published: 5/29/2025 -
Shallow Preference Signals: Large Language model aligns even better without truncated data?
Published: 5/29/2025 -
Gaming Tool Preferences in Agentic LLMs
Published: 5/29/2025 -
Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
Published: 5/29/2025 -
LLM Populations Form Social Conventions and Collective Bias
Published: 5/29/2025 -
LLM Generated Persona is a Promise with a Catch
Published: 5/29/2025 -
Large Language Models for Digital Twin Simulation
Published: 5/29/2025 -
From RL Distillation to Autonomous LLM Agents
Published: 5/29/2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.