Best AI papers explained

Podcast készítő Enoch H. Kang

550 Epizód

The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs
Közzétéve: 2025. 05. 09.
Limits to scalable evaluation at the frontier: LLM as Judge won’t beat twice the data
Közzétéve: 2025. 05. 09.
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation
Közzétéve: 2025. 05. 09.
Accelerating Unbiased LLM Evaluation via Synthetic Feedback
Közzétéve: 2025. 05. 09.
Prediction-Powered Statistical Inference Framework
Közzétéve: 2025. 05. 09.
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
Közzétéve: 2025. 05. 09.
RM-R1: Reward Modeling as Reasoning
Közzétéve: 2025. 05. 09.
Reexamining the Aleatoric and Epistemic Uncertainty Dichotomy
Közzétéve: 2025. 05. 08.
Decoding Claude Code: Terminal Agent for Developers
Közzétéve: 2025. 05. 07.
Emergent Strategic AI Equilibrium from Pre-trained Reasoning
Közzétéve: 2025. 05. 07.
Benefiting from Proprietary Data with Siloed Training
Közzétéve: 2025. 05. 06.
Advantage Alignment Algorithms
Közzétéve: 2025. 05. 06.
Asymptotic Safety Guarantees Based On Scalable Oversight
Közzétéve: 2025. 05. 06.
What Makes a Reward Model a Good Teacher? An Optimization Perspective
Közzétéve: 2025. 05. 06.
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems
Közzétéve: 2025. 05. 06.
Identifiable Steering via Sparse Autoencoding of Multi-Concept Shifts
Közzétéve: 2025. 05. 06.
You Are What You Eat - AI Alignment Requires Understanding How Data Shapes Structure and Generalisation
Közzétéve: 2025. 05. 06.
Interplay of LLMs in Information Retrieval Evaluation
Közzétéve: 2025. 05. 03.
Trade-Offs Between Tasks Induced by Capacity Constraints Bound the Scope of Intelligence
Közzétéve: 2025. 05. 03.
Toward Efficient Exploration by Large Language Model Agents
Közzétéve: 2025. 05. 03.

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550 Epizód

The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs

Limits to scalable evaluation at the frontier: LLM as Judge won’t beat twice the data

Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation

Accelerating Unbiased LLM Evaluation via Synthetic Feedback

Prediction-Powered Statistical Inference Framework

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL

RM-R1: Reward Modeling as Reasoning

Reexamining the Aleatoric and Epistemic Uncertainty Dichotomy

Decoding Claude Code: Terminal Agent for Developers

Emergent Strategic AI Equilibrium from Pre-trained Reasoning

Benefiting from Proprietary Data with Siloed Training

Advantage Alignment Algorithms

Asymptotic Safety Guarantees Based On Scalable Oversight

What Makes a Reward Model a Good Teacher? An Optimization Perspective

Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

Identifiable Steering via Sparse Autoencoding of Multi-Concept Shifts

You Are What You Eat - AI Alignment Requires Understanding How Data Shapes Structure and Generalisation

Interplay of LLMs in Information Retrieval Evaluation

Trade-Offs Between Tasks Induced by Capacity Constraints Bound the Scope of Intelligence

Toward Efficient Exploration by Large Language Model Agents