Best AI papers explained

534 Episoder

1. Understanding neural networks through sparse circuits

   Udgivet: 14.11.2025
2. Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

   Udgivet: 14.11.2025
3. Multi-Agent Evolve: LLM Self-Improvement Through Co-Evolution

   Udgivet: 14.11.2025
4. LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

   Udgivet: 14.11.2025
5. PREFDISCO: Evaluating Proactive Personalization through Interactive Preference Discovery

   Udgivet: 12.11.2025
6. Reusing pre-training data at test time is a compute multiplier

   Udgivet: 10.11.2025
7. Scaling Agent Learning via Experience Synthesis

   Udgivet: 9.11.2025
8. Continuous Autoregressive Language Models

   Udgivet: 8.11.2025
9. Toward a Theory of Agents as Tool-Use Decision-Makers

   Udgivet: 7.11.2025
10. Nested Learning: The Illusion of Deep Learning Architectures

    Udgivet: 5.11.2025
11. GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding

    Udgivet: 5.11.2025
12. Beyond a million tokens: benchmarking and enhancing long-term memory in llms

    Udgivet: 4.11.2025
13. Agentic Economic Modeling

    Udgivet: 3.11.2025
14. Emergent Introspective Awareness in Large Language Models

    Udgivet: 3.11.2025
15. Can Large reasoning models self-train?

    Udgivet: 1.11.2025
16. ALITA-G: Self-Evolving Generative Agent for Agent Generation

    Udgivet: 1.11.2025
17. Self-improving LLM agents at test-time

    Udgivet: 30.10.2025
18. Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization

    Udgivet: 30.10.2025
19. Language models are injective and hence invertible

    Udgivet: 30.10.2025
20. ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

    Udgivet: 29.10.2025