3 papers
cs.AI2025
JEF-Hinter: Leveraging Offline Knowledge for Improving Web Agents Adaptation
Hadi Nekoei, Aman Jaiswal, Patrice Bechard +7
Large language model (LLM) agents perform well in sequential decision-making tasks, but improving them on unfamiliar domains often requires costly online interactions or fine-tunin…
cs.CL2025
Multi-task retriever fine-tuning for domain-specific and efficient RAG
Patrice Béchard, Orlando Marquez Ayala
Retrieval-Augmented Generation (RAG) has become ubiquitous when deploying Large Language Models (LLMs), as it can address typical limitations such as generating hallucinated or out…
cs.SE2024
Generating a Low-code Complete Workflow via Task Decomposition and RAG
Orlando Marquez Ayala, Patrice Béchard
AI technologies are moving rapidly from research to production. With the popularity of Foundation Models (FMs) that generate text, images, and video, AI-based systems are increasin…