35 citations · 44 across the 10 of their papers we have counts for
3 papers · 1 filter
ATA: A Neuro-Symbolic Approach to Implement Autonomous and Trustworthy Agents
David Peer, Sebastian Stabinger
Large Language Models (LLMs) have demonstrated impressive capabilities, yet their deployment in high-stakes domains is hindered by inherent limitations in trustworthiness, includin…
ANLS* -- A Universal Document Processing Metric for Generative Large Language Models
David Peer, Philemon Schöpf, Volckmar Nebendahl +2
Traditionally, discriminative models have been the predominant choice for tasks like document classification and information extraction. These models make predictions that fall int…
Greedy-layer Pruning: Speeding up Transformer Models for Natural Language Processing
David Peer, Sebastian Stabinger, Stefan Engl +1
Fine-tuning transformer models after unsupervised pre-training reaches a very high performance on many different natural language processing tasks. Unfortunately, transformers suff…