17 citations · 95 across the 13 of their papers we have counts for
15 papers
Implicit Probabilistic Reasoning Does Not Reflect Explicit Answers in Large Language Models
Manuel Mondal, Ljiljana Dolamic, Gérôme Bovet +2
The handling of probabilities in the form of uncertainty or partial information is an essential task for LLMs in many settings and applications. A common approach to evaluate an LL…
REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories
Bangchao Deng, Bingqing Qu, Pengyang Wang +3
Location prediction forecasts a user's location based on historical user mobility traces. To tackle the intrinsic sparsity issue of real-world user mobility traces, spatiotemporal…
Spider4SPARQL: A Complex Benchmark for Evaluating Knowledge Graph Question Answering Systems
Catherine Kosten, Philippe Cudré-Mauroux, Kurt Stockinger
With the recent spike in the number and availability of Large Language Models (LLMs), it has become increasingly important to provide large and realistic benchmarks for evaluating…
Fusing Vector Space Models for Domain-Specific Applications
Laura Rettig, Julien Audiffren, Philippe Cudré-Mauroux
We address the problem of tuning word embeddings for specific use cases and domains. We propose a new method that automatically combines multiple domain-specific embeddings, select…
Non-Parametric Class Completeness Estimators for Collaborative Knowledge Graphs -- The Case of Wikidata
Michael Luggen, Djellel Difallah, Cristina Sarasua +2
Collaborative Knowledge Graph platforms allow humans and automated scripts to collaborate in creating, updating and interlinking entities and facts. To ensure both the completeness…
DAOC: Stable Clustering of Large Networks
Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
Clustering is a crucial component of many data mining systems involving the analysis and exploration of various data. Data diversity calls for clustering algorithms to be accurate…