4 papers
Vision-Guided Iterative Refinement for Frontend Code Generation
Hannah Sansford, Derek H. C. Law, Wei Liu +3
Code generation with large language models often relies on multi-stage human-in-the-loop refinement, which is effective but very costly - particularly in domains such as frontend w…
Uncovering Locally Low-dimensional Structure in Networks by Locally Optimal Spectral Embedding
Hannah Sansford, Nick Whiteley, Patrick Rubin-Delanchy
Standard Adjacency Spectral Embedding (ASE) relies on a global low-rank assumption often incompatible with the sparse, transitive structure of real-world networks, causing local ge…
How high is `high'? Rethinking the roles of dimensionality in topological data analysis and manifold learning
Hannah Sansford, Nick Whiteley, Patrick Rubin-Delanchy
We present a generalised Hanson-Wright inequality and use it to establish new statistical insights into the geometry of data point-clouds. In the setting of a general random functi…
GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework
Hannah Sansford, Nicholas Richardson, Hermina Petric Maretic +1
Methods to evaluate Large Language Model (LLM) responses and detect inconsistencies, also known as hallucinations, with respect to the provided knowledge, are becoming increasingly…