4 citations · 5 across the 4 of their papers we have counts for
4 papers
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
Tobias Leemann, Periklis Petridis, Giuseppe Vietri +3
While retrieval-augmented generation (RAG) has been shown to enhance factuality of large language model (LLM) outputs, LLMs still suffer from hallucination, generating incorrect or…
On the Usefulness of Synthetic Tabular Data Generation
Dionysis Manousakas, Sergül Aydöre
Despite recent advances in synthetic data generation, the scientific community still lacks a unified consensus on its usefulness. It is commonly believed that synthetic data can be…
Black-box Coreset Variational Inference
Dionysis Manousakas, Hippolyt Ritter, Theofanis Karaletsos
Recent advances in coreset methods have shown that a selection of representative datapoints can replace massive volumes of data for Bayesian inference, preserving the relevant stat…
-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers
Dionysis Manousakas, Cecilia Mascolo
Modern machine learning applications should be able to address the intrinsic challenges arising over inference on massive real-world datasets, including scalability and robustness…