Automated alignment is harder than you think
Automated alignment is harder than you think A common proposal for ensuring the safety of future artificial superintelligence (ASI) is to use AI agents to au...
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Understand new AI research with readable explanations and links to the original papers.
Automated alignment is harder than you think A common proposal for ensuring the safety of future artificial superintelligence (ASI) is to use AI agents to au...
GlazyBench: A Benchmark for Ceramic Glaze Property Prediction and Image Generation Developing new ceramic glazes is traditionally a slow, expensive process o...
Debiased Multimodal Personality Understanding through Dual Causal Intervention Multimodal personality understanding aims to infer traits like the Big Five or...
Ex Ante Evaluation of AI-Induced Idea Diversity Collapse Generative AI is often judged by how well it helps an individual user create a better story, slogan,...
Patch-Effect Graph Kernels for LLM Interpretability Mechanistic interpretability aims to understand how transformer models work by identifying the "circuits"...
Beyond Task Success: Measuring Workflow Fidelity in LLM-Based Agentic Payment Systems This paper addresses a critical blind spot in the deployment of LLM-bas...
More Than Can Be Said: A Benchmark and Framework for Pre-Question Scientific Ideation Most AI research tools are designed to assist with tasks that occur aft...
Knowledge Graphs, the Missing Link in Agentic AI-based Formal Verification Formal Verification (FV) is a critical process in hardware design that ensures a s...
From Token Lists to Graph Motifs: Weisfeiler-Lehman Analysis of Sparse Autoencoder Features This paper explores a new way to organize and understand the thou...
Addressing Labelled Data Scarcity: Taxonomy-Agnostic Annotation of PII Values in HTTP Traffic using LLMs This paper addresses the challenge of detecting Pers...
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