Best AI papers explained
A podcast by Enoch H. Kang
512 Episodio
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Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Pubblicato: 30/08/2025 -
Compute-Optimal Scaling for Value-Based Deep RL
Pubblicato: 25/08/2025 -
LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience
Pubblicato: 23/08/2025 -
Signal and Noise: Evaluating Language Model Benchmarks
Pubblicato: 23/08/2025 -
Breaking Feedback Loops in Recommender Systems with Causal Inference
Pubblicato: 21/08/2025 -
RAG is Dead, Context Engineering is King: Building Reliable AI Systems
Pubblicato: 20/08/2025 -
A Survey of Personalization: From RAG to Agent
Pubblicato: 20/08/2025 -
Facilitating the Adoption of Causal Infer-ence Methods Through LLM-Empowered Co-Pilot
Pubblicato: 19/08/2025 -
Performance Prediction for Large Systems via Text-to-Text Regression
Pubblicato: 16/08/2025 -
Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
Pubblicato: 15/08/2025 -
DINOv3: Vision Models for Self-Supervised Learning
Pubblicato: 15/08/2025 -
Agent Lightning: Training Any AI Agents with Reinforcement Learning
Pubblicato: 14/08/2025 -
Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier
Pubblicato: 14/08/2025 -
From Model Weights to Agent Workflows: Charting the New Frontier of Optimization in Large Language Models
Pubblicato: 12/08/2025 -
Is Chain-of-Thought Reasoning a Mirage?
Pubblicato: 12/08/2025 -
Agentic Web: Weaving the Next Web with AI Agents
Pubblicato: 11/08/2025 -
The Assimilation-Accommodation Gap in LLM Intelligence
Pubblicato: 10/08/2025 -
The Minimalist AI Kernel: A New Frontier in Reasoning
Pubblicato: 06/08/2025 -
Statistical Rigor for Interpretable AI
Pubblicato: 06/08/2025 -
Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value
Pubblicato: 04/08/2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
