Best AI papers explained

534 Episodo

1. Understanding neural networks through sparse circuits

   Publicado: 14/11/2025
2. Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

   Publicado: 14/11/2025
3. Multi-Agent Evolve: LLM Self-Improvement Through Co-Evolution

   Publicado: 14/11/2025
4. LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

   Publicado: 14/11/2025
5. PREFDISCO: Evaluating Proactive Personalization through Interactive Preference Discovery

   Publicado: 12/11/2025
6. Reusing pre-training data at test time is a compute multiplier

   Publicado: 10/11/2025
7. Scaling Agent Learning via Experience Synthesis

   Publicado: 9/11/2025
8. Continuous Autoregressive Language Models

   Publicado: 8/11/2025
9. Toward a Theory of Agents as Tool-Use Decision-Makers

   Publicado: 7/11/2025
10. Nested Learning: The Illusion of Deep Learning Architectures

    Publicado: 5/11/2025
11. GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding

    Publicado: 5/11/2025
12. Beyond a million tokens: benchmarking and enhancing long-term memory in llms

    Publicado: 4/11/2025
13. Agentic Economic Modeling

    Publicado: 3/11/2025
14. Emergent Introspective Awareness in Large Language Models

    Publicado: 3/11/2025
15. Can Large reasoning models self-train?

    Publicado: 1/11/2025
16. ALITA-G: Self-Evolving Generative Agent for Agent Generation

    Publicado: 1/11/2025
17. Self-improving LLM agents at test-time

    Publicado: 30/10/2025
18. Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization

    Publicado: 30/10/2025
19. Language models are injective and hence invertible

    Publicado: 30/10/2025
20. ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

    Publicado: 29/10/2025