4 papers
ToolFlood: Beyond Selection -- Hiding Valid Tools from LLM Agents via Semantic Covering
Hussein Jawad, Nicolas J-B Brunel
Large Language Model (LLM) agents increasingly use external tools for complex tasks and rely on embedding-based retrieval to select a small top-k subset for reasoning. As these sys…
Shape Analysis of Euclidean Curves under Frenet-Serret Framework
Perrine Chassat, Juhyun Park, Nicolas Brunel
Geometric frameworks for analyzing curves are common in applications as they focus on invariant features and provide visually satisfying solutions to standard problems such as comp…
PSM: Prompt Sensitivity Minimization via LLM-Guided Black-Box Optimization
Huseein Jawad, Nicolas Brunel
System prompts are critical for guiding the behavior of Large Language Models (LLMs), yet they often contain proprietary logic or sensitive information, making them a prime target…
Towards a rigorous evaluation of RAG systems: the challenge of due diligence
Grégoire Martinon, Alexandra Lorenzo de Brionne, Jérôme Bohard +3
The rise of generative AI, has driven significant advancements in high-risk sectors like healthcare and finance. The Retrieval-Augmented Generation (RAG) architecture, combining la…