Best AI papers explained
Podcast tekijän mukaan Enoch H. Kang
534 Jaksot
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Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL
Julkaistiin: 29.5.2025 -
Value-Guided Search for Efficient Chain-of-Thought Reasoning
Julkaistiin: 29.5.2025 -
Shallow Preference Signals: Large Language model aligns even better without truncated data?
Julkaistiin: 29.5.2025 -
Gaming Tool Preferences in Agentic LLMs
Julkaistiin: 29.5.2025 -
Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
Julkaistiin: 29.5.2025 -
LLM Populations Form Social Conventions and Collective Bias
Julkaistiin: 29.5.2025 -
LLM Generated Persona is a Promise with a Catch
Julkaistiin: 29.5.2025 -
Large Language Models for Digital Twin Simulation
Julkaistiin: 29.5.2025 -
From RL Distillation to Autonomous LLM Agents
Julkaistiin: 29.5.2025 -
Prompting, Auto-Prompting, and Human-AI Communication
Julkaistiin: 29.5.2025 -
Textual Gradients for LLM Optimization
Julkaistiin: 29.5.2025 -
Large Language Models as Markov Chains
Julkaistiin: 28.5.2025 -
Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation
Julkaistiin: 28.5.2025 -
Selective induction heads: how transformers select causal structures in context
Julkaistiin: 28.5.2025 -
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
Julkaistiin: 28.5.2025 -
How Transformers Learn Causal Structure with Gradient Descent
Julkaistiin: 28.5.2025 -
Planning anything with rigor: general-purpose zero-shot planning with llm-based formalized programming
Julkaistiin: 28.5.2025 -
Automated Design of Agentic Systems
Julkaistiin: 28.5.2025 -
What’s the Magic Word? A Control Theory of LLM Prompting
Julkaistiin: 28.5.2025 -
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
Julkaistiin: 27.5.2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
