Best AI papers explained
Ein Podcast von Enoch H. Kang
506 Folgen
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Small Language Models are the Future of Agentic AI
Vom: 7.10.2025 -
Activation Steering in Generative Settings via Contrastive Causal Mediation Analysis
Vom: 6.10.2025 -
Eliciting Secret Knowledge from Language Models
Vom: 6.10.2025 -
Temporal difference flow
Vom: 6.10.2025 -
Personalized reasoning: just-in-time personalization and why LLMs fail at it
Vom: 5.10.2025 -
Prompt Curriculum Learning for Efficient LLM Post-Training
Vom: 5.10.2025 -
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
Vom: 4.10.2025 -
Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward
Vom: 4.10.2025 -
Learning to summarize user information for personalized reinforcement learning from human feedback
Vom: 4.10.2025 -
Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
Vom: 3.10.2025 -
LIMI: Less is More for Agency
Vom: 1.10.2025 -
LoRA Without Regret
Vom: 1.10.2025 -
Actor-Critic without Actor: Critic-Guided Denoising for RL
Vom: 29.9.2025 -
DELTA-Code: How Does RL Unlock and Transfer New Programming Algorithms in LLMs?
Vom: 29.9.2025 -
Linear Transformers Implicitly Discover Unified Numerical Algorithms
Vom: 29.9.2025 -
Regularizing Extrapolation in Causal Inference
Vom: 27.9.2025 -
DoubleGen - Debiased Generative Modeling of Counterfactuals
Vom: 27.9.2025 -
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
Vom: 27.9.2025 -
Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
Vom: 27.9.2025 -
Learning without training: The implicit dynamics of in-context learning
Vom: 24.9.2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
