Search Results for author: David Leonhard

Found 3 papers, 1 papers with code

Controlled Randomness Improves the Performance of Transformer Models

no code implementations20 Oct 2023 Tobias Deußer, Cong Zhao, Wolfgang Krämer, David Leonhard, Christian Bauckhage, Rafet Sifa

During the pre-training step of natural language models, the main objective is to learn a general representation of the pre-training dataset, usually requiring large amounts of textual data to capture the complexity and diversity of natural language.

Diversity named-entity-recognition +3

sustain.AI: a Recommender System to analyze Sustainability Reports

1 code implementation15 May 2023 Lars Hillebrand, Maren Pielka, David Leonhard, Tobias Deußer, Tim Dilmaghani, Bernd Kliem, Rüdiger Loitz, Milad Morad, Christian Temath, Thiago Bell, Robin Stenzel, Rafet Sifa

We present sustainAI, an intelligent, context-aware recommender system that assists auditors and financial investors as well as the general public to efficiently analyze companies' sustainability reports.

Multi-Label Classification Recommendation Systems

Cannot find the paper you are looking for? You can Submit a new open access paper.