:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Speller, Jan, Luttermann, Malte, Gehrke, Marcel, Braun, Tanya
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2505.22288
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Approximate Lifted Model Construction
by: Luttermann, Malte, et al.
Published: (2025)

Lifted Causal Inference in Relational Domains
by: Luttermann, Malte, et al.
Published: (2024)

Lifted Model Construction without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs
by: Luttermann, Malte, et al.
Published: (2024)

Lifting Factor Graphs with Some Unknown Factors
by: Luttermann, Malte, et al.
Published: (2024)

Lifting Factor Graphs with Some Unknown Factors for New Individuals
by: Luttermann, Malte, et al.
Published: (2025)

Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs
by: Luttermann, Malte, et al.
Published: (2024)

Efficient Detection of Exchangeable Factors in Factor Graphs
by: Luttermann, Malte, et al.
Published: (2024)

On the Detection of Commutative Factors in Factor Graphs: Necessary and Sufficient Conditions
by: Luttermann, Malte, et al.
Published: (2026)

Efficient Detection of Commutative Factors in Factor Graphs
by: Luttermann, Malte, et al.
Published: (2024)

Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent Actions
by: Marwitz, Florian Andreas, et al.
Published: (2025)

On the Completeness and Complexity of the Lifted Dynamic Junction Tree Algorithm
by: Gehrke, Marcel
Published: (2021)

Enhancement of Subjective Content Descriptions by using Human Feedback
by: Bender, Magnus, et al.
Published: (2024)

Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models
by: Luttermann, Malte, et al.
Published: (2024)

Combining Local Symmetry Exploitation and Reinforcement Learning for Optimised Probabilistic Inference -- A Work In Progress
by: Hamid, Sagad, et al.
Published: (2025)

A First Step Towards Even More Sparse Encodings of Probability Distributions
by: Marwitz, Florian Andreas, et al.
Published: (2026)

Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain
by: Luttermann, Malte, et al.
Published: (2024)

Denoising the Future: Top-p Distributions for Moving Through Time
by: Marwitz, Florian Andreas, et al.
Published: (2025)

POaaS: Minimal-Edit Prompt Optimization as a Service to Lift Accuracy and Cut Hallucinations on On-Device sLLMs
by: Shim, Jungwoo, et al.
Published: (2026)

Large Language Models as Recommender Systems: A Study of Popularity Bias
by: Lichtenberg, Jan Malte, et al.
Published: (2024)

Dream, Lift, Animate: From Single Images to Animatable Gaussian Avatars
by: Bühler, Marcel C., et al.
Published: (2025)

Compressed Causal Reasoning: Quantization and GraphRAG Effects on Interventional and Counterfactual Accuracy
by: Nwaiwu, Steve, et al.
Published: (2025)

Learning Lifted Action Models from Unsupervised Visual Traces
by: Xi, Kai, et al.
Published: (2026)

Structuring versus Problematizing: How LLM-based Agents Scaffold Learning in Diagnostic Reasoning
by: Güreş, Fatma Betül, et al.
Published: (2026)

A Maslow-Inspired Hierarchy of Engagement with AI Model
by: Ogot, Madara
Published: (2025)

Lifted Successor Generation in Numeric Planning
by: Drexler, Dominik
Published: (2025)

Learning Lifted Action Models From Traces of Incomplete Actions and States
by: Jansen, Niklas, et al.
Published: (2025)

Language Models as Hierarchy Encoders
by: He, Yuan, et al.
Published: (2024)

Identifiability in Causal Abstractions: A Hierarchy of Criteria
by: Yvernes, Clément, et al.
Published: (2025)

Security and Detectability Analysis of Unicode Text Watermarking Methods Against Large Language Models
by: Hellmeier, Malte
Published: (2025)

Modeling Access Differences to Reduce Disparity in Resource Allocation
by: Andrews, Kenya, et al.
Published: (2024)

Status Hierarchies in Language Models
by: Barkett, Emilio
Published: (2026)

Beyond Accuracy: Characterizing Code Comprehension Capabilities in (Large) Language Models
by: Mächtle, Felix, et al.
Published: (2026)

The Hierarchy of Agentic Capabilities: Evaluating Frontier Models on Realistic RL Environments
by: Ritchie, Logan, et al.
Published: (2026)

Learning Lifted STRIPS Models from Action Traces Alone: A Simple, General, and Scalable Solution
by: Gösgens, Jonas, et al.
Published: (2024)

Brevity Constraints Reverse Performance Hierarchies in Language Models
by: Hakim, MD Azizul
Published: (2026)

Learning Lifted Action Models from Traces with Minimal Information About Actions and States
by: Gösgens, Jonas, et al.
Published: (2026)

Exploiting Data Hierarchy as a New Modality for Contrastive Learning
by: Bhalla, Arjun, et al.
Published: (2024)

Tailored Architectures for Time Series Forecasting: Evaluating Deep Learning Models on Gaussian Process-Generated Data
by: Hankemeier, Victoria, et al.
Published: (2025)

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning
by: Hill, Brennen
Published: (2025)

Learning Domain-Independent Heuristics for Grounded and Lifted Planning
by: Chen, Dillon Z., et al.
Published: (2023)