Best AI papers explained

Podcast autorstwa Enoch H. Kang

535 Odcinki

The Era of Agentic Organization: Learning to Organize with Language Models
Opublikowany: 15.11.2025
Understanding neural networks through sparse circuits
Opublikowany: 14.11.2025
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
Opublikowany: 14.11.2025
Multi-Agent Evolve: LLM Self-Improvement Through Co-Evolution
Opublikowany: 14.11.2025
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
Opublikowany: 14.11.2025
PREFDISCO: Evaluating Proactive Personalization through Interactive Preference Discovery
Opublikowany: 12.11.2025
Reusing pre-training data at test time is a compute multiplier
Opublikowany: 10.11.2025
Scaling Agent Learning via Experience Synthesis
Opublikowany: 9.11.2025
Continuous Autoregressive Language Models
Opublikowany: 8.11.2025
Toward a Theory of Agents as Tool-Use Decision-Makers
Opublikowany: 7.11.2025
Nested Learning: The Illusion of Deep Learning Architectures
Opublikowany: 5.11.2025
GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
Opublikowany: 5.11.2025
Beyond a million tokens: benchmarking and enhancing long-term memory in llms
Opublikowany: 4.11.2025
Agentic Economic Modeling
Opublikowany: 3.11.2025
Emergent Introspective Awareness in Large Language Models
Opublikowany: 3.11.2025
Can Large reasoning models self-train?
Opublikowany: 1.11.2025
ALITA-G: Self-Evolving Generative Agent for Agent Generation
Opublikowany: 1.11.2025
Self-improving LLM agents at test-time
Opublikowany: 30.10.2025
Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization
Opublikowany: 30.10.2025
Language models are injective and hence invertible
Opublikowany: 30.10.2025

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535 Odcinki

The Era of Agentic Organization: Learning to Organize with Language Models

Understanding neural networks through sparse circuits

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Multi-Agent Evolve: LLM Self-Improvement Through Co-Evolution

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

PREFDISCO: Evaluating Proactive Personalization through Interactive Preference Discovery

Reusing pre-training data at test time is a compute multiplier

Scaling Agent Learning via Experience Synthesis

Continuous Autoregressive Language Models

Toward a Theory of Agents as Tool-Use Decision-Makers

Nested Learning: The Illusion of Deep Learning Architectures

GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding

Beyond a million tokens: benchmarking and enhancing long-term memory in llms

Agentic Economic Modeling

Emergent Introspective Awareness in Large Language Models

Can Large reasoning models self-train?

ALITA-G: Self-Evolving Generative Agent for Agent Generation

Self-improving LLM agents at test-time

Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization

Language models are injective and hence invertible