Best AI papers explained

550 Avsnitt

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

   Publicerades: 2025-08-23
2. Signal and Noise: Evaluating Language Model Benchmarks

   Publicerades: 2025-08-23
3. Breaking Feedback Loops in Recommender Systems with Causal Inference

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

   Publicerades: 2025-08-20
5. A Survey of Personalization: From RAG to Agent

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

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

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

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

   Publicerades: 2025-08-15
10. Agent Lightning: Training Any AI Agents with Reinforcement Learning

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

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

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

    Publicerades: 2025-08-12
14. Agentic Web: Weaving the Next Web with AI Agents

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

    Publicerades: 2025-08-10
16. The Minimalist AI Kernel: A New Frontier in Reasoning

    Publicerades: 2025-08-06
17. Statistical Rigor for Interpretable AI

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

    Publicerades: 2025-08-04
19. A foundation model to predict and capture human cognition

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

    Publicerades: 2025-08-04