Saved in:
| Main Authors: | Chen, Danqing, Ladner, Tobias, Mhadhbi, Ahmed Rayen, Althoff, Matthias |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.12767 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
by: Ladner, Tobias, et al.
Published: (2024)
by: Ladner, Tobias, et al.
Published: (2024)
Set-Based Training of Neural Barrier Certificates for Safety Verification of Dynamical Systems
by: Kranzlmüller, Miriam, et al.
Published: (2026)
by: Kranzlmüller, Miriam, et al.
Published: (2026)
Formally Verifying Analog Neural Networks Under Process Variations Using Polynomial Zonotopes
by: Abu-Haeyeh, Yasmine, et al.
Published: (2026)
by: Abu-Haeyeh, Yasmine, et al.
Published: (2026)
Fully Automatic Neural Network Reduction for Formal Verification
by: Ladner, Tobias, et al.
Published: (2023)
by: Ladner, Tobias, et al.
Published: (2023)
Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations
by: Bassan, Shahaf, et al.
Published: (2025)
by: Bassan, Shahaf, et al.
Published: (2025)
Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition
by: Greco, Candida M., et al.
Published: (2024)
by: Greco, Candida M., et al.
Published: (2024)
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
by: Matton, Katie, et al.
Published: (2025)
by: Matton, Katie, et al.
Published: (2025)
Abstraction-Based Proof Production in Formal Verification of Neural Networks
by: Elboher, Yizhak Yisrael, et al.
Published: (2025)
by: Elboher, Yizhak Yisrael, et al.
Published: (2025)
A Design Co-Pilot for Task-Tailored Manipulators
by: Külz, Jonathan, et al.
Published: (2025)
by: Külz, Jonathan, et al.
Published: (2025)
Do Chatbots Walk the Talk of Responsible AI?
by: Aaronson, Susan Ariel, et al.
Published: (2025)
by: Aaronson, Susan Ariel, et al.
Published: (2025)
Out of the Shadows: Exploring a Latent Space for Neural Network Verification
by: Koller, Lukas, et al.
Published: (2025)
by: Koller, Lukas, et al.
Published: (2025)
Set-Based Training for Neural Network Verification
by: Koller, Lukas, et al.
Published: (2024)
by: Koller, Lukas, et al.
Published: (2024)
Perception with Guarantees: Certified Pose Estimation via Reachability Analysis
by: Ladner, Tobias, et al.
Published: (2026)
by: Ladner, Tobias, et al.
Published: (2026)
Nishpaksh: TEC Standard-Compliant Framework for Fairness Auditing and Certification of AI Models
by: Prakash, Shashank, et al.
Published: (2026)
by: Prakash, Shashank, et al.
Published: (2026)
Formal Verification of Neural Certificates Done Dynamically
by: Henzinger, Thomas A., et al.
Published: (2025)
by: Henzinger, Thomas A., et al.
Published: (2025)
Model Predictive Robustness of Signal Temporal Logic Predicates
by: Lin, Yuanfei, et al.
Published: (2022)
by: Lin, Yuanfei, et al.
Published: (2022)
Fairness Certification for Natural Language Processing and Large Language Models
by: Freiberger, Vincent, et al.
Published: (2024)
by: Freiberger, Vincent, et al.
Published: (2024)
Contingency-constrained economic dispatch with safe reinforcement learning
by: Eichelbeck, Michael, et al.
Published: (2022)
by: Eichelbeck, Michael, et al.
Published: (2022)
Formally Verified Certification of Unsolvability of Temporal Planning Problems
by: Wang, David, et al.
Published: (2025)
by: Wang, David, et al.
Published: (2025)
Traffic-Rule-Compliant Trajectory Repair via Satisfiability Modulo Theories and Reachability Analysis
by: Lin, Yuanfei, et al.
Published: (2024)
by: Lin, Yuanfei, et al.
Published: (2024)
Formal Safety Guarantees for Autonomous Vehicles using Barrier Certificates
by: Barhoumi, Oumaima, et al.
Published: (2026)
by: Barhoumi, Oumaima, et al.
Published: (2026)
Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models
by: Wang, Danqing, et al.
Published: (2024)
by: Wang, Danqing, et al.
Published: (2024)
Agentmandering: A Game-Theoretic Framework for Fair Redistricting via Large Language Model Agents
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
Leveraging Analytic Gradients in Provably Safe Reinforcement Learning
by: Walter, Tim, et al.
Published: (2025)
by: Walter, Tim, et al.
Published: (2025)
Are Language Models Actually Useful for Time Series Forecasting?
by: Tan, Mingtian, et al.
Published: (2024)
by: Tan, Mingtian, et al.
Published: (2024)
Do Large Language Models Walk Their Talk? Measuring the Gap Between Implicit Associations, Self-Report, and Behavioral Altruism
by: Andric, Sandro
Published: (2025)
by: Andric, Sandro
Published: (2025)
Talking to Yourself: Defying Forgetting in Large Language Models
by: Sun, Yutao, et al.
Published: (2026)
by: Sun, Yutao, et al.
Published: (2026)
Formal Synthesis of Certifiably Robust Neural Lyapunov-Barrier Certificates
by: Wang, Chengxiao, et al.
Published: (2026)
by: Wang, Chengxiao, et al.
Published: (2026)
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
by: Mandal, Udayan, et al.
Published: (2024)
by: Mandal, Udayan, et al.
Published: (2024)
Training Verifiably Robust Agents Using Set-Based Reinforcement Learning
by: Wendl, Manuel, et al.
Published: (2024)
by: Wendl, Manuel, et al.
Published: (2024)
The (Short-Term) Effects of Large Language Models on Unemployment and Earnings
by: Chen, Danqing, et al.
Published: (2025)
by: Chen, Danqing, et al.
Published: (2025)
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks
by: Lützow, Laura, et al.
Published: (2025)
by: Lützow, Laura, et al.
Published: (2025)
Lumos: Let there be Language Model System Certification
by: Chaudhary, Isha, et al.
Published: (2025)
by: Chaudhary, Isha, et al.
Published: (2025)
From LLM-Generated Conjectures to Lean Formalizations: Automated Polynomial Inequality Proving via Sum-of-Squares Certificates
by: Zuo, Ruobing, et al.
Published: (2026)
by: Zuo, Ruobing, et al.
Published: (2026)
WalkVLM:Aid Visually Impaired People Walking by Vision Language Model
by: Yuan, Zhiqiang, et al.
Published: (2024)
by: Yuan, Zhiqiang, et al.
Published: (2024)
UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Tasks
by: Marom, Ofir
Published: (2026)
by: Marom, Ofir
Published: (2026)
Compliance-by-Construction Argument Graphs: Using Generative AI to Produce Evidence-Linked Formal Arguments for Certification-Grade Accountability
by: Moghaddam, Mahyar T.
Published: (2026)
by: Moghaddam, Mahyar T.
Published: (2026)
FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
by: Yu, Zhouliang, et al.
Published: (2025)
by: Yu, Zhouliang, et al.
Published: (2025)
Predictive Traffic Rule Compliance using Reinforcement Learning
by: Huang, Yanliang, et al.
Published: (2025)
by: Huang, Yanliang, et al.
Published: (2025)
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System
by: Deldjoo, Yashar, et al.
Published: (2024)
by: Deldjoo, Yashar, et al.
Published: (2024)
Similar Items
-
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
by: Ladner, Tobias, et al.
Published: (2024) -
Set-Based Training of Neural Barrier Certificates for Safety Verification of Dynamical Systems
by: Kranzlmüller, Miriam, et al.
Published: (2026) -
Formally Verifying Analog Neural Networks Under Process Variations Using Polynomial Zonotopes
by: Abu-Haeyeh, Yasmine, et al.
Published: (2026) -
Fully Automatic Neural Network Reduction for Formal Verification
by: Ladner, Tobias, et al.
Published: (2023) -
Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations
by: Bassan, Shahaf, et al.
Published: (2025)