2 citations · 2 across the 11 of their papers we have counts for
22 papers
Shorter Reasoning, Earlier Answers? An Evaluation of Reasoning Interfaces
Francesca Carlon, Vincent Ginis, Andres Algaba
Large language models often reason at length before answering, increasing cost and latency. Prompts and trained settings can shorten this reasoning, but a shorter trace may only sh…
How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models
Andres Algaba, Francesca Carlon, Lynn Delcon +3
Large language models often show users a final response and a short reasoning summary while the full reasoning trace stays hidden. We introduce an observability ladder that holds e…
Geometric Configurations of Perturbed Jailbreak Prompts
Lynn Delcon, Andres Algaba, Vincent Ginis
Perturbation techniques that turn unsuccessful jailbreak prompts into successful ones are continuously evolving, constituting a major security threat to LLM safety. In this paper,…
The relationship between reasoning and performance in large language models--o3 (mini) thinks harder, not longer
Marthe Ballon, Andres Algaba, Vincent Ginis
Large language models have demonstrated remarkable progress in mathematical reasoning, leveraging chain-of-thought and reinforcement learning. However, many open questions remain r…
The Type III realisation conjecture of Kirkland and Å migoc
Brecht Verbeken, Vincent Ginis
Kirkland and Å migoc constructed a family of stochastic matrices realising the Type III boundary polynomials in the KarpeleviÄ region and conjectured that, conversely, every stoch…
Neural Networks for Inverse Design of Cascaded-Mode Near-Field Landscapes
Wannes Luts De Martelaere, Joeri Lenaerts, Vincent Ginis
Structuring optical near-fields is important for applications in microscopy and nanoparticle manipulation. Traditionally, near-fields are structured using antenna nanostructures th…