41 citations · 102 across the 14 of their papers we have counts for
15 papers
Efficient Hybrid Hard--Soft Signal Temporal Logic MPC for Driving under Multimodal Uncertainty
Kumar Manas, Adrian Paschke
Motion planning for automated vehicles in interactive traffic has to simultaneously ensure safety, respect traffic rules, and maintain comfortable progress under multi-modal behavi…
Reversing Arrows in Large Language Models
Sefika Efeoglu, Adrian Paschke
Large language models (LLMs) have achieved strong performance on text-to-knowledge graph generation and related tasks. Nevertheless, it is still unclear whether they accurately mod…
Cross-lingual Relation Extraction with Large Language Models: Zero-Shot, Few-Shot, and Fine-Tuned Evaluation on Romanian
Dragos-Mitrut Vasile, Elena-Simona Apostol, Stefan-Adrian Toma +2
Relation extraction (RE) for low-resource languages is typically constrained by the lack of annotated corpora. We investigate the feasibility of cross-lingual RE for Romanian by co…
Benchmarking Quantum Architecture Search with Surrogate Assistance
Darya Martyniuk, Johannes Jung, Daniel Barta +1
The development of quantum algorithms and their practical applications currently relies heavily on the efficient design, compilation, and optimization of quantum circuits. In parti…
Leveraging Diffusion Models for Parameterized Quantum Circuit Generation
Daniel Barta, Darya Martyniuk, Johannes Jung +1
Quantum computing holds immense potential, yet its practical success depends on multiple factors, including advances in quantum circuit design. In this paper, we introduce a genera…
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Kumar Manas, Christian Schlauch, Adrian Paschke +2
Deep learning-based trajectory prediction models have demonstrated promising capabilities in capturing complex interactions. However, their out-of-distribution generalization remai…
Post-Training Language Models for Continual Relation Extraction
Sefika Efeoglu, Adrian Paschke, Sonja Schimmler
Real-world data, such as news articles, social media posts, and chatbot conversations, is inherently dynamic and non-stationary, presenting significant challenges for constructing…
Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey
Kumar Manas, Adrian Paschke
This comprehensive survey examines the integration of knowledge-based approaches in autonomous driving systems, specifically focusing on trajectory prediction and planning. We exte…
CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-of-Thought Reasoning
Kumar Manas, Stefan Zwicklbauer, Adrian Paschke
Autonomous agents often face the challenge of interpreting uncertain natural language instructions for planning tasks. Representing these instructions as Linear Temporal Logic (LTL…
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks
Sefika Efeoglu, Adrian Paschke
Information Extraction (IE) is crucial for converting unstructured data into structured formats like Knowledge Graphs (KGs). A key task within IE is Relation Extraction (RE), which…
Quantum Architecture Search: A Survey
Darya Martyniuk, Johannes Jung, Adrian Paschke
Quantum computing has made significant progress in recent years, attracting immense interest not only in research laboratories but also in various industries. However, the applicat…
TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules
Kumar Manas, Stefan Zwicklbauer, Adrian Paschke
Traffic rules formalization is crucial for verifying the compliance and safety of autonomous vehicles (AVs). However, manual translation of natural language traffic rules as formal…
Retrieval-Augmented Generation-based Relation Extraction
Sefika Efeoglu, Adrian Paschke
Information Extraction (IE) is a transformative process that converts unstructured text data into a structured format by employing entity and relation extraction (RE) methodologies…
Measurable Krylov Spaces and Eigenenergy Count in Quantum State Dynamics
Saud Čindrak, Adrian Paschke, Lina Jaurigue +1
In this work, we propose a quantum-mechanically measurable basis for the computation of spread complexity. Current literature focuses on computing different powers of the Hamiltoni…
Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans
Leo Sünkel, Darya Martyniuk, Julia J. Reichwald +5
Practical quantum computing (QC) is still in its infancy and problems considered are usually fairly small, especially in quantum machine learning when compared to its classical cou…