2 citations · 4 across the 13 of their papers we have counts for
3 papers · 1 filter
Anchored Alignment for Self-Explanations Enhancement
Luis Felipe Villa-Arenas, Ata Nizamoglu, Qianli Wang +2
In this work, we introduce a methodology for alignment designed to enhance the ability of large language models (LLMs) to articulate their reasoning (self-explanation) even in the…
Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
Qianli Wang, Tatiana Anikina, Nils Feldhus +3
Natural language explanations (NLEs) are vital for elucidating the reasoning behind large language model (LLM) decisions. Many techniques have been developed to generate NLEs using…
Protect and Extend -- Using GANs for Synthetic Data Generation of Time-Series Medical Records
Navid Ashrafi, Vera Schmitt, Robert P. Spang +2
Preservation of private user data is of paramount importance for high Quality of Experience (QoE) and acceptability, particularly with services treating sensitive data, such as IT-…