Search Results for author:
Found 5 papers, 4 papers with code
Hallucination Detection in LLMs Using Spectral Features of Attention Maps
We propose the $\text{LapEigvals}$ method, which utilises the top-$k$ eigenvalues of the Laplacian matrix derived from the attention maps as an input to hallucination detection probes.
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction
Advancements in AI and natural language processing have revolutionized machine-human language interactions, with question answering (QA) systems playing a pivotal role.
Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings
Knowledge-intensive tasks pose a significant challenge for Machine Learning (ML) techniques.
Graph-level representations using ensemble-based readout functions
Graph machine learning models have been successfully deployed in a variety of application areas.
This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish
In this paper, we introduce LEPISZCZE (the Polish word for glew, the Middle English predecessor of glue), a new, comprehensive benchmark for Polish NLP with a large variety of tasks and high-quality operationalization of the benchmark.
