Best AI papers explained

550 Episodes

1. LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience

   Published: 23/08/2025
2. Signal and Noise: Evaluating Language Model Benchmarks

   Published: 23/08/2025
3. Breaking Feedback Loops in Recommender Systems with Causal Inference

   Published: 21/08/2025
4. RAG is Dead, Context Engineering is King: Building Reliable AI Systems

   Published: 20/08/2025
5. A Survey of Personalization: From RAG to Agent

   Published: 20/08/2025
6. Facilitating the Adoption of Causal Infer-ence Methods Through LLM-Empowered Co-Pilot

   Published: 19/08/2025
7. Performance Prediction for Large Systems via Text-to-Text Regression

   Published: 16/08/2025
8. Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning

   Published: 15/08/2025
9. DINOv3: Vision Models for Self-Supervised Learning

   Published: 15/08/2025
10. Agent Lightning: Training Any AI Agents with Reinforcement Learning

    Published: 14/08/2025
11. Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier

    Published: 14/08/2025
12. From Model Weights to Agent Workflows: Charting the New Frontier of Optimization in Large Language Models

    Published: 12/08/2025
13. Is Chain-of-Thought Reasoning a Mirage?

    Published: 12/08/2025
14. Agentic Web: Weaving the Next Web with AI Agents

    Published: 11/08/2025
15. The Assimilation-Accommodation Gap in LLM Intelligence

    Published: 10/08/2025
16. The Minimalist AI Kernel: A New Frontier in Reasoning

    Published: 06/08/2025
17. Statistical Rigor for Interpretable AI

    Published: 06/08/2025
18. Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value

    Published: 04/08/2025
19. A foundation model to predict and capture human cognition

    Published: 04/08/2025
20. Generative Recommendation with Semantic IDs: A Practitioner’s Handbook

    Published: 04/08/2025