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Cut through the noise. We curate and break down the most important AI papers so you don’t have to.

837 épisodes · Technologie

Best AI papers explained

Par Enoch H. Kang

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Dernier épisodeHybrid Reasoning AgentsNouveau20 min

Cut through the noise. We curate and break down the most important AI papers so you don’t have to.

Strategic Self-Consistencyil y a 3 jours · 25 min
Retrofitting language models to operate over bytesil y a 3 jours · 24 min
Priced Guidance: Can Language Models Generate Future Research Ideas?il y a 4 jours · 20 min
Context Language Modelsil y a 5 jours · 22 min
Position: AI-Agent Pricing Should Become More Outcome-Dependent: An Economic Perspectiveil y a 6 jours · 23 min
Emergent Capabilities Arise Randomly from Learning Sparse Attention Patterns8 oct. · 24 min
Pragmatic Causal Inference with AI-Learned Representations6 oct. · 23 min
Pointwise or pairwise: when do pairwise losses help reward learning, provably?4 oct. · 22 min
When to Trust the Cheap Check: Weak and Strong Verification for Reasoning3 oct. · 25 min
Theoretical Limits of Language Model Alignment1 oct. · 24 min