Heriberto Cuayáhuitl

A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents

2018 · arXiv (Cornell University)

The amount of dialogue history to include in a conversational agent is often underestimated and/or set in an empirical and thus possibly naive way. This suggests that principled investigations into optimal context windows are urgently …

Helpful or Harmful? Re-Evaluating Frugality in Retrieval-Augmented Generation for Medical Question Answering

2026 · Machine Learning and Knowledge Extraction

Medical question answering (QA) systems and conversational agents have attracted growing interest as tools that can assist clinicians, support medical students, and help patients navigate complex information sources. However, existing evaluations of retrieval strategies largely …