Best AI papers explained

515 Episoder

1. On the Theoretical Limitations of Embedding-Based Retrieval

   Udgivet: 31.8.2025
2. Performance Prediction for Large Systems via Text-to-Text Regression

   Udgivet: 30.8.2025
3. Demystifying the Visual Quality Paradox in Multimodal Large Language Models

   Udgivet: 30.8.2025
4. Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

   Udgivet: 30.8.2025
5. Compute-Optimal Scaling for Value-Based Deep RL

   Udgivet: 25.8.2025
6. LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience

   Udgivet: 23.8.2025
7. Signal and Noise: Evaluating Language Model Benchmarks

   Udgivet: 23.8.2025
8. Breaking Feedback Loops in Recommender Systems with Causal Inference

   Udgivet: 21.8.2025
9. RAG is Dead, Context Engineering is King: Building Reliable AI Systems

   Udgivet: 20.8.2025
10. A Survey of Personalization: From RAG to Agent

    Udgivet: 20.8.2025
11. Facilitating the Adoption of Causal Infer-ence Methods Through LLM-Empowered Co-Pilot

    Udgivet: 19.8.2025
12. Performance Prediction for Large Systems via Text-to-Text Regression

    Udgivet: 16.8.2025
13. Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning

    Udgivet: 15.8.2025
14. DINOv3: Vision Models for Self-Supervised Learning

    Udgivet: 15.8.2025
15. Agent Lightning: Training Any AI Agents with Reinforcement Learning

    Udgivet: 14.8.2025
16. Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier

    Udgivet: 14.8.2025
17. From Model Weights to Agent Workflows: Charting the New Frontier of Optimization in Large Language Models

    Udgivet: 12.8.2025
18. Is Chain-of-Thought Reasoning a Mirage?

    Udgivet: 12.8.2025
19. Agentic Web: Weaving the Next Web with AI Agents

    Udgivet: 11.8.2025
20. The Assimilation-Accommodation Gap in LLM Intelligence

    Udgivet: 10.8.2025