15 citations · 15 across the 2 of their papers we have counts for
4 papers
A Reality Check of Inference-Time Context Augmentation Methods
Haeun Yu, Geert Heyman, Pepa Atanasova +1
Large language models (LLMs) often fail to utilise the context given in the input, resulting in hallucinations or a fallback to parametric knowledge. Context augmentation methods a…
Steer Like the LLM: Activation Steering that Mimics Prompting
Geert Heyman, Frederik Vandeputte
Large language models can be steered at inference time through prompting or activation interventions, but activation steering methods often underperform compared to prompt-based ap…
Natural Language-Guided Programming
Geert Heyman, Rafael Huysegems, Pascal Justen +1
In today's software world with its cornucopia of reusable software libraries, when a programmer is faced with a programming task that they suspect can be completed through the use…
Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent
Geert Heyman, Tom Van Cutsem
In this work, we propose and study annotated code search: the retrieval of code snippets paired with brief descriptions of their intent using natural language queries. On three ben…