Search Results for author:
Found 7 papers, 1 papers with code
On the Semantics of LM Latent Space: A Vocabulary-defined Approach
In response, we introduce a pioneering method called vocabulary-defined semantics, which establishes a reference frame within the LM latent space, ensuring disentangled semantic analysis grounded in LM vocabulary.
Neuron-level LLM Patching for Code Generation
In this paper, we propose a novel and effective model editing approach, \textsc{MENT}, to patch LLMs in coding tasks.
E-APR: Mapping the Effectiveness of Automated Program Repair
We introduce a new approach, Explaining Automated Program Repair (E-APR), which identifies features of buggy programs that explain why a particular instance is difficult for an APR technique.
Software Engineering
The Neighbours' Similar Fitness Property for Local Search
For most practical optimisation problems local search outperforms random sampling - despite the "No Free Lunch Theorem".
Is perturbation an effective restart strategy?
Premature convergence can be detrimental to the performance of search methods, which is why many search algorithms include restart strategies to deal with it.
Swarm Behaviour Evolution via Rule Sharing and Novelty Search
We present in this paper an exertion of our previous work by increasing the robustness and coverage of the evolution search via hybridisation with a state-of-the-art novelty search and accelerate the individual agent behaviour searches via a novel behaviour-component sharing technique.
Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control
This new HGN is called Robotic-HGN (R-HGN), as it matches robot environment observations to environment labels via fusion of match probabilities from both temporal and intra-swarm collections.
