Saved in:
| Main Authors: | Bechtle, Philip, Flek, Lucie, Jung, Philipp Alexander, Karimi, Akbar, Saala, Timo, Schmidt, Alexander, Schott, Matthias, Soldin, Philipp, Wiebusch, Christopher, Willemsen, Ulrich |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.13970 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncovering Hidden Systematics in Neural Network Models for High Energy Physics
by: Flek, Lucie, et al.
Published: (2026)
by: Flek, Lucie, et al.
Published: (2026)
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations
by: Saala, Timo, et al.
Published: (2025)
by: Saala, Timo, et al.
Published: (2025)
MiniFool -- Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks
by: Flek, Lucie, et al.
Published: (2025)
by: Flek, Lucie, et al.
Published: (2025)
Encoder Fine-tuning with Stochastic Sampling Outperforms Open-weight GPT in Astronomy Knowledge Extraction
by: Rawat, Shivam, et al.
Published: (2025)
by: Rawat, Shivam, et al.
Published: (2025)
Exploring Robustness of LLMs to Paraphrasing Based on Sociodemographic Factors
by: Arora, Pulkit, et al.
Published: (2025)
by: Arora, Pulkit, et al.
Published: (2025)
Exploring Robustness of Multilingual LLMs on Real-World Noisy Data
by: Aliakbarzadeh, Amirhossein, et al.
Published: (2025)
by: Aliakbarzadeh, Amirhossein, et al.
Published: (2025)
Multi-Hop Reasoning for Question Answering with Hyperbolic Representations
by: Welz, Simon, et al.
Published: (2025)
by: Welz, Simon, et al.
Published: (2025)
Introduction to the Usage of Open Data from the Large Hadron Collider for Computer Scientists in the Context of Machine Learning
by: Saala, Timo, et al.
Published: (2025)
by: Saala, Timo, et al.
Published: (2025)
Label-Consistent Data Generation for Aspect-Based Sentiment Analysis Using LLM Agents
by: Monfared, Mohammad H. A., et al.
Published: (2026)
by: Monfared, Mohammad H. A., et al.
Published: (2026)
More Agents Improve Math Problem Solving but Adversarial Robustness Gap Persists
by: Alavi, Khashayar, et al.
Published: (2025)
by: Alavi, Khashayar, et al.
Published: (2025)
Transfer Learning Across Fast- and Full-Simulation Domains in High-Energy Physics
by: Schott, Matthias, et al.
Published: (2026)
by: Schott, Matthias, et al.
Published: (2026)
Learning Minimal-Deviation Corrections for Multi-Dimensional Mismodelling in HEP Simulations
by: Schott, Matthias, et al.
Published: (2026)
by: Schott, Matthias, et al.
Published: (2026)
ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving
by: Abedin, Zain Ul, et al.
Published: (2025)
by: Abedin, Zain Ul, et al.
Published: (2025)
Improving Low-Resource Dialect Classification Using Retrieval-based Voice Conversion
by: Fischbach, Lea, et al.
Published: (2025)
by: Fischbach, Lea, et al.
Published: (2025)
Can LLM Agents Identify Spoken Dialects like a Linguist?
by: Bystrich, Tobias, et al.
Published: (2026)
by: Bystrich, Tobias, et al.
Published: (2026)
PhyLiNO: A Forward-Folding Likelihood-Fit Framework for Neutrino Oscillation Physics
by: Hellwig, Denise, et al.
Published: (2025)
by: Hellwig, Denise, et al.
Published: (2025)
Plausible but Wrong: A case study on Agentic Failures in Astrophysical Workflows
by: Rawat, Shivam, et al.
Published: (2026)
by: Rawat, Shivam, et al.
Published: (2026)
IKnow: Instruction-Knowledge-Aware Continual Pretraining for Effective Domain Adaptation
by: Zhang, Tianyi, et al.
Published: (2025)
by: Zhang, Tianyi, et al.
Published: (2025)
Probing the Robustness of Theory of Mind in Large Language Models
by: Nickel, Christian, et al.
Published: (2024)
by: Nickel, Christian, et al.
Published: (2024)
Advanced Northern Tracks Selection using a Graph Convolutional Neural Network for the IceCube Neutrino Observatory
by: Soldin, Philipp, et al.
Published: (2025)
by: Soldin, Philipp, et al.
Published: (2025)
Do Multilingual Large Language Models Mitigate Stereotype Bias?
by: Nie, Shangrui, et al.
Published: (2024)
by: Nie, Shangrui, et al.
Published: (2024)
Why summation by parts is not enough
by: Glaubitz, Jan, et al.
Published: (2026)
by: Glaubitz, Jan, et al.
Published: (2026)
The Forward Physics Facility at the HL-LHC and its Synergies with Astroparticle Physics
by: Soldin, Dennis
Published: (2024)
by: Soldin, Dennis
Published: (2024)
Asynchronous Traffic Shaping and Redundancy: Avoiding Unbounded Latencies in In-Car Networks
by: Lübeck, Teresa, et al.
Published: (2025)
by: Lübeck, Teresa, et al.
Published: (2025)
A Critical Reflection and Forward Perspective on Empathy and Natural Language Processing
by: Lahnala, Allison, et al.
Published: (2022)
by: Lahnala, Allison, et al.
Published: (2022)
Understanding Artificial Theory of Mind: Perturbed Tasks and Reasoning in Large Language Models
by: Nickel, Christian, et al.
Published: (2026)
by: Nickel, Christian, et al.
Published: (2026)
The Muddy Waters of Modeling Empathy in Language: The Practical Impacts of Theoretical Constructs
by: Lahnala, Allison, et al.
Published: (2025)
by: Lahnala, Allison, et al.
Published: (2025)
The good enough mother under social vulnerability conditions
by: Michele Carmona ACHING
Published: (2016)
by: Michele Carmona ACHING
Published: (2016)
Superalignment with Dynamic Human Values
by: Mai, Florian, et al.
Published: (2025)
by: Mai, Florian, et al.
Published: (2025)
Funzac at CoMeDi Shared Task: Modeling Annotator Disagreement from Word-In-Context Perspectives
by: Sarumi, Olufunke O., et al.
Published: (2025)
by: Sarumi, Olufunke O., et al.
Published: (2025)
Reasoning Primitives in Hybrid and Non-Hybrid LLMs: Do Architectural Differences Yield Advantages in State-Tracking and Recall?
by: Rawat, Shivam, et al.
Published: (2026)
by: Rawat, Shivam, et al.
Published: (2026)
On the Limitations of Language Targeted Pruning: Investigating the Calibration Language Impact in Multilingual LLM Pruning
by: Kurz, Simon, et al.
Published: (2024)
by: Kurz, Simon, et al.
Published: (2024)
Pitfalls of Conversational LLMs on News Debiasing
by: Schlicht, Ipek Baris, et al.
Published: (2024)
by: Schlicht, Ipek Baris, et al.
Published: (2024)
Covington, Coline. Who's to Blame? Collective Guilt on Trial. Routledge. 2023. Pp. 172. Pbk. £18.99.
by: Hessel Willemsen
Published: (2024)
by: Hessel Willemsen
Published: (2024)
Random search with stochastic resetting: when finding the target is not enough
by: Bressloff, Paul C.
Published: (2025)
by: Bressloff, Paul C.
Published: (2025)
PERSPECTRA: A Scalable and Configurable Pluralist Benchmark of Perspectives from Arguments
by: Nie, Shangrui, et al.
Published: (2026)
by: Nie, Shangrui, et al.
Published: (2026)
Physics-constrained generative machine learning-based high-resolution downscaling of Greenland's surface mass balance and surface temperature
by: Bochow, Nils, et al.
Published: (2025)
by: Bochow, Nils, et al.
Published: (2025)
Army of the vulnerable
by: Alexander Edmonds
Published: (2025)
by: Alexander Edmonds
Published: (2025)
Can Stories Help LLMs Reason? Curating Information Space Through Narrative
by: Javadi, Vahid Sadiri, et al.
Published: (2024)
by: Javadi, Vahid Sadiri, et al.
Published: (2024)
Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?
by: Schlicht, Ipek Baris, et al.
Published: (2025)
by: Schlicht, Ipek Baris, et al.
Published: (2025)
Similar Items
-
Uncovering Hidden Systematics in Neural Network Models for High Energy Physics
by: Flek, Lucie, et al.
Published: (2026) -
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations
by: Saala, Timo, et al.
Published: (2025) -
MiniFool -- Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks
by: Flek, Lucie, et al.
Published: (2025) -
Encoder Fine-tuning with Stochastic Sampling Outperforms Open-weight GPT in Astronomy Knowledge Extraction
by: Rawat, Shivam, et al.
Published: (2025) -
Exploring Robustness of LLMs to Paraphrasing Based on Sociodemographic Factors
by: Arora, Pulkit, et al.
Published: (2025)