Best AI papers explained

435 Episodo

1. On the Theoretical Limitations of Embedding-Based Retrieval

   Publicado: 31/8/2025
2. Performance Prediction for Large Systems via Text-to-Text Regression

   Publicado: 30/8/2025
3. Demystifying the Visual Quality Paradox in Multimodal Large Language Models

   Publicado: 30/8/2025
4. Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

   Publicado: 30/8/2025
5. Compute-Optimal Scaling for Value-Based Deep RL

   Publicado: 25/8/2025
6. LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience

   Publicado: 23/8/2025
7. Signal and Noise: Evaluating Language Model Benchmarks

   Publicado: 23/8/2025
8. Breaking Feedback Loops in Recommender Systems with Causal Inference

   Publicado: 21/8/2025
9. RAG is Dead, Context Engineering is King: Building Reliable AI Systems

   Publicado: 20/8/2025
10. A Survey of Personalization: From RAG to Agent

    Publicado: 20/8/2025
11. Facilitating the Adoption of Causal Infer-ence Methods Through LLM-Empowered Co-Pilot

    Publicado: 19/8/2025
12. Performance Prediction for Large Systems via Text-to-Text Regression

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

    Publicado: 15/8/2025
14. DINOv3: Vision Models for Self-Supervised Learning

    Publicado: 15/8/2025
15. Agent Lightning: Training Any AI Agents with Reinforcement Learning

    Publicado: 14/8/2025
16. Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier

    Publicado: 14/8/2025
17. From Model Weights to Agent Workflows: Charting the New Frontier of Optimization in Large Language Models

    Publicado: 12/8/2025
18. Is Chain-of-Thought Reasoning a Mirage?

    Publicado: 12/8/2025
19. Agentic Web: Weaving the Next Web with AI Agents

    Publicado: 11/8/2025
20. The Assimilation-Accommodation Gap in LLM Intelligence

    Publicado: 10/8/2025