Saved in:
| Main Authors: | Zelenskiy, Ben, Abudukelimu, Saibilila, Flint, George, Zhu, Kevin, Dev, Sunishchal |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.11762 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Inference-Time Chain-of-Thought Pruning with Latent Informativeness Signals
by: Li, Sophie, et al.
Published: (2025)
by: Li, Sophie, et al.
Published: (2025)
Limits of Emergent Reasoning of Large Language Models in Agentic Frameworks for Deterministic Games
by: Su, Chris, et al.
Published: (2025)
by: Su, Chris, et al.
Published: (2025)
PALADIN: Self-Correcting Language Model Agents to Cure Tool-Failure Cases
by: Vuddanti, Sri Vatsa, et al.
Published: (2025)
by: Vuddanti, Sri Vatsa, et al.
Published: (2025)
Broken Chains: The Cost of Incomplete Reasoning in LLMs
by: Su, Ian, et al.
Published: (2026)
by: Su, Ian, et al.
Published: (2026)
Amortized Latent Steering: Low-Cost Alternative to Test-Time Optimization
by: Egbuna, Nathan, et al.
Published: (2025)
by: Egbuna, Nathan, et al.
Published: (2025)
Peek-a-Boo Reasoning: Contrastive Region Masking in MLLMs
by: Chaturvedi, Isha, et al.
Published: (2025)
by: Chaturvedi, Isha, et al.
Published: (2025)
DuoLens: A Framework for Robust Detection of Machine-Generated Multilingual Text and Code
by: Agrawal, Shriyansh, et al.
Published: (2025)
by: Agrawal, Shriyansh, et al.
Published: (2025)
Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs
by: George, Robert Joseph, et al.
Published: (2022)
by: George, Robert Joseph, et al.
Published: (2022)
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
by: Rahman, Md Ashiqur, et al.
Published: (2024)
by: Rahman, Md Ashiqur, et al.
Published: (2024)
Hierarchical Inference and Closure Learning via Adaptive Surrogates for ODEs and PDEs
by: Zhang, Pengyu, et al.
Published: (2026)
by: Zhang, Pengyu, et al.
Published: (2026)
A Few Bad Neurons: Isolating and Surgically Correcting Sycophancy
by: O'Brien, Claire, et al.
Published: (2026)
by: O'Brien, Claire, et al.
Published: (2026)
FRIT: Using Causal Importance to Improve Chain-of-Thought Faithfulness
by: Swaroop, Anand, et al.
Published: (2025)
by: Swaroop, Anand, et al.
Published: (2025)
BENO: Boundary-embedded Neural Operators for Elliptic PDEs
by: Wang, Haixin, et al.
Published: (2024)
by: Wang, Haixin, et al.
Published: (2024)
SALT: Steering Activations towards Leakage-free Thinking in Chain of Thought
by: Batra, Shourya, et al.
Published: (2025)
by: Batra, Shourya, et al.
Published: (2025)
Physics-Informed Neural Networks and Neural Operators for Parametric PDEs
by: Zhang, Zhuo, et al.
Published: (2025)
by: Zhang, Zhuo, et al.
Published: (2025)
AgentChangeBench: A Multi-Dimensional Evaluation Framework for Goal-Shift Robustness in Conversational AI
by: Rana, Manik, et al.
Published: (2025)
by: Rana, Manik, et al.
Published: (2025)
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs
by: Tanaka, Yusuke, et al.
Published: (2024)
by: Tanaka, Yusuke, et al.
Published: (2024)
Neural Jump ODEs as Generative Models
by: Crowell, Robert A., et al.
Published: (2025)
by: Crowell, Robert A., et al.
Published: (2025)
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management
by: Chen, Shuyi, et al.
Published: (2025)
by: Chen, Shuyi, et al.
Published: (2025)
Walsh-Hadamard Neural Operators for Solving PDEs with Discontinuous Coefficients
by: Cavallazzi, Giorgio M., et al.
Published: (2025)
by: Cavallazzi, Giorgio M., et al.
Published: (2025)
Latent Neural Operator Pretraining for Solving Time-Dependent PDEs
by: Wang, Tian, et al.
Published: (2024)
by: Wang, Tian, et al.
Published: (2024)
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
by: Li, Zongyi, et al.
Published: (2022)
by: Li, Zongyi, et al.
Published: (2022)
Autoregression-Free Neural Operators for Time-Dependent PDEs
by: Zhang, Jiaquan, et al.
Published: (2026)
by: Zhang, Jiaquan, et al.
Published: (2026)
Lotka-Sharpe Neural Operators for Control of Population PDEs
by: Krstic, Miroslav, et al.
Published: (2026)
by: Krstic, Miroslav, et al.
Published: (2026)
Efficient, Accurate and Stable Gradients for Neural ODEs
by: McCallum, Sam, et al.
Published: (2024)
by: McCallum, Sam, et al.
Published: (2024)
Adaptive Feedforward Gradient Estimation in Neural ODEs
by: Dabounou, Jaouad
Published: (2024)
by: Dabounou, Jaouad
Published: (2024)
Latent Space Energy-based Neural ODEs
by: Cheng, Sheng, et al.
Published: (2024)
by: Cheng, Sheng, et al.
Published: (2024)
Expressivity of Quadratic Neural ODEs
by: Hanson, Joshua, et al.
Published: (2025)
by: Hanson, Joshua, et al.
Published: (2025)
Control Disturbance Rejection in Neural ODEs
by: Bayram, Erkan, et al.
Published: (2025)
by: Bayram, Erkan, et al.
Published: (2025)
Steerable Neural ODEs on Homogeneous Spaces
by: Andersdotter, Emma, et al.
Published: (2026)
by: Andersdotter, Emma, et al.
Published: (2026)
MENO: Hybrid Matrix Exponential-based Neural Operator for Stiff ODEs. Application to Thermochemical Kinetics
by: Zanardi, Ivan, et al.
Published: (2025)
by: Zanardi, Ivan, et al.
Published: (2025)
GFocal: A Global-Focal Neural Operator for Solving PDEs on Arbitrary Geometries
by: Fei, Fangzhi, et al.
Published: (2025)
by: Fei, Fangzhi, et al.
Published: (2025)
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
by: Cheng, Ze, et al.
Published: (2024)
by: Cheng, Ze, et al.
Published: (2024)
DRIFT-Net: A Spectral--Coupled Neural Operator for PDEs Learning
by: Li, Jiayi, et al.
Published: (2025)
by: Li, Jiayi, et al.
Published: (2025)
Automatic and Structure-Aware Sparsification of Hybrid Neural ODEs
by: Zou, Bob Junyi, et al.
Published: (2025)
by: Zou, Bob Junyi, et al.
Published: (2025)
Simulation-Free Training of Neural ODEs on Paired Data
by: Kim, Semin, et al.
Published: (2024)
by: Kim, Semin, et al.
Published: (2024)
Backstepping Neural Operators for $2\times 2$ Hyperbolic PDEs
by: Wang, Shanshan, et al.
Published: (2023)
by: Wang, Shanshan, et al.
Published: (2023)
Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction
by: Bazgir, Omid, et al.
Published: (2023)
by: Bazgir, Omid, et al.
Published: (2023)
Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary Domains
by: Wen, Shizheng, et al.
Published: (2025)
by: Wen, Shizheng, et al.
Published: (2025)
Equivariant Manifold Neural ODEs and Differential Invariants
by: Andersdotter, Emma, et al.
Published: (2024)
by: Andersdotter, Emma, et al.
Published: (2024)
Similar Items
-
Inference-Time Chain-of-Thought Pruning with Latent Informativeness Signals
by: Li, Sophie, et al.
Published: (2025) -
Limits of Emergent Reasoning of Large Language Models in Agentic Frameworks for Deterministic Games
by: Su, Chris, et al.
Published: (2025) -
PALADIN: Self-Correcting Language Model Agents to Cure Tool-Failure Cases
by: Vuddanti, Sri Vatsa, et al.
Published: (2025) -
Broken Chains: The Cost of Incomplete Reasoning in LLMs
by: Su, Ian, et al.
Published: (2026) -
Amortized Latent Steering: Low-Cost Alternative to Test-Time Optimization
by: Egbuna, Nathan, et al.
Published: (2025)