Faithful Differentiable Reasoning with Reshuffled Region-based Embeddings
Fuente:
arXiv
Saved in:
| Main Authors: | Pavlovic, Aleksandar, Sallinger, Emanuel, Schockaert, Steven |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BoxLitE: A Faithful Knowledge Base Embedding Based on Convex Optimization
by: Lourenço, Bruno F., et al.
Published: (2026)
by: Lourenço, Bruno F., et al.
Published: (2026)
Systematic Relational Reasoning With Epistemic Graph Neural Networks
by: Khalid, Irtaza, et al.
Published: (2024)
by: Khalid, Irtaza, et al.
Published: (2024)
Large Language and Reasoning Models are Shallow Disjunctive Reasoners
by: Khalid, Irtaza, et al.
Published: (2025)
by: Khalid, Irtaza, et al.
Published: (2025)
When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning
by: Das, Anirban, et al.
Published: (2025)
by: Das, Anirban, et al.
Published: (2025)
Experience Replay with Random Reshuffling
by: Fujita, Yasuhiro
Published: (2025)
by: Fujita, Yasuhiro
Published: (2025)
ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning
by: Vujinovic, Aleksandar, et al.
Published: (2025)
by: Vujinovic, Aleksandar, et al.
Published: (2025)
Faithful or Just Plausible? Evaluating the Faithfulness of Closed-Source LLMs in Medical Reasoning
by: Afolabi, Halimat, et al.
Published: (2026)
by: Afolabi, Halimat, et al.
Published: (2026)
Capturing Knowledge Graphs and Rules with Octagon Embeddings
by: Charpenay, Victor, et al.
Published: (2024)
by: Charpenay, Victor, et al.
Published: (2024)
Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis
by: Anil, Akash, et al.
Published: (2023)
by: Anil, Akash, et al.
Published: (2023)
Benchmarking Compositional Generalisation for Machine Learning Interatomic Potentials
by: Nourollah, Amir Masoud, et al.
Published: (2026)
by: Nourollah, Amir Masoud, et al.
Published: (2026)
Drop the Act: Probe-Filtered RL for Faithful Chain-of-Thought Reasoning
by: Parekh, Swapnil
Published: (2026)
by: Parekh, Swapnil
Published: (2026)
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
by: Arcuschin, Iván, et al.
Published: (2025)
by: Arcuschin, Iván, et al.
Published: (2025)
AtManRL: Towards Faithful Reasoning via Differentiable Attention Saliency
by: Höth, Max Henning, et al.
Published: (2026)
by: Höth, Max Henning, et al.
Published: (2026)
Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks
by: Jayaraman, Srideepika, et al.
Published: (2026)
by: Jayaraman, Srideepika, et al.
Published: (2026)
DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations
by: Guo, Yuhan, et al.
Published: (2025)
by: Guo, Yuhan, et al.
Published: (2025)
Measuring Chain-of-Thought Monitorability Through Faithfulness and Verbosity
by: Meek, Austin, et al.
Published: (2025)
by: Meek, Austin, et al.
Published: (2025)
Faithful Interpretation for Graph Neural Networks
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations
by: Qin, Tiexin, et al.
Published: (2023)
by: Qin, Tiexin, et al.
Published: (2023)
Terminating Differentiable Tree Experts
by: Thomm, Jonathan, et al.
Published: (2024)
by: Thomm, Jonathan, et al.
Published: (2024)
RulE: Knowledge Graph Reasoning with Rule Embedding
by: Tang, Xiaojuan, et al.
Published: (2022)
by: Tang, Xiaojuan, et al.
Published: (2022)
The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct Representation
by: Pavlovic, Maja, et al.
Published: (2024)
by: Pavlovic, Maja, et al.
Published: (2024)
Towards Metric-Faithful Neural Graph Matching
by: Shivottam, Jyotirmaya, et al.
Published: (2026)
by: Shivottam, Jyotirmaya, et al.
Published: (2026)
FaithLM: Towards Faithful Explanations for Large Language Models
by: Chuang, Yu-Neng, et al.
Published: (2024)
by: Chuang, Yu-Neng, et al.
Published: (2024)
FLARE: Faithful Logic-Aided Reasoning and Exploration
by: Arakelyan, Erik, et al.
Published: (2024)
by: Arakelyan, Erik, et al.
Published: (2024)
Robust Conformal Prediction with a Single Binary Certificate
by: Zargarbashi, Soroush H., et al.
Published: (2025)
by: Zargarbashi, Soroush H., et al.
Published: (2025)
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
by: Yue, Linan, et al.
Published: (2024)
by: Yue, Linan, et al.
Published: (2024)
DatBench: Discriminative, Faithful, and Efficient VLM Evaluations
by: DatologyAI, et al.
Published: (2026)
by: DatologyAI, et al.
Published: (2026)
Faithful and Stable Neuron Explanations for Trustworthy Mechanistic Interpretability
by: Yan, Ge, et al.
Published: (2025)
by: Yan, Ge, et al.
Published: (2025)
LIMEtree: Consistent and Faithful Surrogate Explanations of Multiple Classes
by: Sokol, Kacper, et al.
Published: (2020)
by: Sokol, Kacper, et al.
Published: (2020)
Faithful and Fast Influence Function via Advanced Sampling
by: Koh, Jungyeon, et al.
Published: (2025)
by: Koh, Jungyeon, et al.
Published: (2025)
UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings
by: Lan, Zhibin, et al.
Published: (2025)
by: Lan, Zhibin, et al.
Published: (2025)
TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding
by: Zhang, Haochuan, et al.
Published: (2025)
by: Zhang, Haochuan, et al.
Published: (2025)
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation
by: Tang, Haoteng, et al.
Published: (2024)
by: Tang, Haoteng, et al.
Published: (2024)
RegD: Hierarchical Embeddings via Dissimilarity between Arbitrary Euclidean Regions
by: Yang, Hui, et al.
Published: (2025)
by: Yang, Hui, et al.
Published: (2025)
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
by: Jürgens, Mira, et al.
Published: (2024)
by: Jürgens, Mira, et al.
Published: (2024)
Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs
by: Azzolin, Steve, et al.
Published: (2024)
by: Azzolin, Steve, et al.
Published: (2024)
Understanding Model Calibration -- A gentle introduction and visual exploration of calibration and the expected calibration error (ECE)
by: Pavlovic, Maja
Published: (2025)
by: Pavlovic, Maja
Published: (2025)
FRIT: Using Causal Importance to Improve Chain-of-Thought Faithfulness
by: Swaroop, Anand, et al.
Published: (2025)
by: Swaroop, Anand, et al.
Published: (2025)
Beyond Output Faithfulness: Learning Attributions that Preserve Computational Pathways
by: Zhang, Siyu, et al.
Published: (2025)
by: Zhang, Siyu, et al.
Published: (2025)
Machine Learning for ALSFRS-R Score Prediction: Making Sense of the Sensor Data
by: Mehta, Ritesh, et al.
Published: (2024)
by: Mehta, Ritesh, et al.
Published: (2024)
Similar Items
-
BoxLitE: A Faithful Knowledge Base Embedding Based on Convex Optimization
by: Lourenço, Bruno F., et al.
Published: (2026) -
Systematic Relational Reasoning With Epistemic Graph Neural Networks
by: Khalid, Irtaza, et al.
Published: (2024) -
Large Language and Reasoning Models are Shallow Disjunctive Reasoners
by: Khalid, Irtaza, et al.
Published: (2025) -
When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning
by: Das, Anirban, et al.
Published: (2025) -
Experience Replay with Random Reshuffling
by: Fujita, Yasuhiro
Published: (2025)