Best AI papers explained

En podcast av Enoch H. Kang

547 Avsnitt

Learning without training: The implicit dynamics of in-context learning
Publicerades: 2025-09-24
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model
Publicerades: 2025-09-24
Open Problems in Mechanistic Interpretability
Publicerades: 2025-09-21
Maestro: Joint Graph & Config Optimization for Reliable AI Agents
Publicerades: 2025-09-21
Thought Anchors: Which LLM Reasoning Steps Matter?
Publicerades: 2025-09-21
Sample Complexity and Representation Ability of Test-time Scaling Paradigms
Publicerades: 2025-09-09
RL's Razor: Why Online RL Forgets Less
Publicerades: 2025-09-07
Why Language Models Hallucinate
Publicerades: 2025-09-06
ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning
Publicerades: 2025-09-06
Sample Efficient Preference Alignment in LLMs via Active Exploration
Publicerades: 2025-09-06
Adventures in Demand Analysis Using AI
Publicerades: 2025-09-04
Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
Publicerades: 2025-09-01
On the Theoretical Limitations of Embedding-Based Retrieval
Publicerades: 2025-08-31
Performance Prediction for Large Systems via Text-to-Text Regression
Publicerades: 2025-08-30
Demystifying the Visual Quality Paradox in Multimodal Large Language Models
Publicerades: 2025-08-30
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Publicerades: 2025-08-30
Compute-Optimal Scaling for Value-Based Deep RL
Publicerades: 2025-08-25
LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience
Publicerades: 2025-08-23
Signal and Noise: Evaluating Language Model Benchmarks
Publicerades: 2025-08-23
Breaking Feedback Loops in Recommender Systems with Causal Inference
Publicerades: 2025-08-21

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

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547 Avsnitt

Learning without training: The implicit dynamics of in-context learning

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model

Open Problems in Mechanistic Interpretability

Maestro: Joint Graph & Config Optimization for Reliable AI Agents

Thought Anchors: Which LLM Reasoning Steps Matter?

Sample Complexity and Representation Ability of Test-time Scaling Paradigms

RL's Razor: Why Online RL Forgets Less

Why Language Models Hallucinate

ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Sample Efficient Preference Alignment in LLMs via Active Exploration

Adventures in Demand Analysis Using AI

Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

On the Theoretical Limitations of Embedding-Based Retrieval

Performance Prediction for Large Systems via Text-to-Text Regression

Demystifying the Visual Quality Paradox in Multimodal Large Language Models

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

Compute-Optimal Scaling for Value-Based Deep RL

LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience

Signal and Noise: Evaluating Language Model Benchmarks

Breaking Feedback Loops in Recommender Systems with Causal Inference