10 papers
Inheritance Between Feedforward and Convolutional Networks via Model Projection
Nicolas Ewen, Jairo Diaz-Rodriguez, Kelly Ramsay
Neural-network techniques are often transferred across architecture families by analogy, but such transfer is valid only when the assumptions required by a technique are preserved.…
How Much Structure Do LLMs Need? Evaluating LLMs for Bibliometric Cluster Description
Abraham Camelo-Guerrero, Jairo Diaz-Rodriguez
Large language models (LLMs) can support scientific literature synthesis, but remain prone to hallucinated references, uneven coverage, and weakly grounded thematic organization. W…
Position: Ideas Should be the Center of Machine Learning Research
Jairo Diaz-Rodriguez
Machine learning research increasingly bifurcates into two disconnected modes: benchmark-driven engineering that prioritizes metrics over understanding, and idealized theory that o…
When Can Digital Personas Reliably Approximate Human Survey Findings?
Mumin Jia, Yilin Chen, Divya Sharma +1
Digital personas powered by Large Language Models (LLMs) are increasingly proposed as substitutes for human survey respondents, yet it remains unclear when they can reliably approx…
When Stress Becomes Signal: Detecting Antifragility-Compatible Regimes in Multi-Agent LLM Systems
Jose Manuel de la Chica, Juan Manuel Vera, Jairo RodrÃguez
Multi-agent LLM systems are increasingly used to solve complex tasks through decomposition, debate, specialization, and ensemble reasoning. However, these systems are usually evalu…
Unsupervised Text Segmentation via Kernel Change-Point Detection on Sentence Embeddings
Mumin Jia, Jairo Diaz-Rodriguez
Unsupervised text segmentation is crucial because boundary labels are expensive, subjective, and often fail to transfer across domains and granularity choices. We propose Embed-KCP…