Best AI papers explained
Un pódcast de Enoch H. Kang
506 Episodo
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Small Language Models are the Future of Agentic AI
Publicado: 7/10/2025 -
Activation Steering in Generative Settings via Contrastive Causal Mediation Analysis
Publicado: 6/10/2025 -
Eliciting Secret Knowledge from Language Models
Publicado: 6/10/2025 -
Temporal difference flow
Publicado: 6/10/2025 -
Personalized reasoning: just-in-time personalization and why LLMs fail at it
Publicado: 5/10/2025 -
Prompt Curriculum Learning for Efficient LLM Post-Training
Publicado: 5/10/2025 -
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
Publicado: 4/10/2025 -
Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward
Publicado: 4/10/2025 -
Learning to summarize user information for personalized reinforcement learning from human feedback
Publicado: 4/10/2025 -
Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
Publicado: 3/10/2025 -
LIMI: Less is More for Agency
Publicado: 1/10/2025 -
LoRA Without Regret
Publicado: 1/10/2025 -
Actor-Critic without Actor: Critic-Guided Denoising for RL
Publicado: 29/9/2025 -
DELTA-Code: How Does RL Unlock and Transfer New Programming Algorithms in LLMs?
Publicado: 29/9/2025 -
Linear Transformers Implicitly Discover Unified Numerical Algorithms
Publicado: 29/9/2025 -
Regularizing Extrapolation in Causal Inference
Publicado: 27/9/2025 -
DoubleGen - Debiased Generative Modeling of Counterfactuals
Publicado: 27/9/2025 -
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
Publicado: 27/9/2025 -
Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
Publicado: 27/9/2025 -
Learning without training: The implicit dynamics of in-context learning
Publicado: 24/9/2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
