Saved in:
| Main Author: | Sharpe, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.23186 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Conservative & Aggressive NaNs Accelerate U-Nets for Neuroimaging
by: Gonzalez-Pepe, Inés, et al.
Published: (2026)
by: Gonzalez-Pepe, Inés, et al.
Published: (2026)
OverNaN: NaN-Aware Oversampling for Imbalanced Learning with Meaningful Missingness
by: Barnard, Amanda S
Published: (2026)
by: Barnard, Amanda S
Published: (2026)
Black-Box Adversarial Attacks on LLM-Based Code Completion
by: Jenko, Slobodan, et al.
Published: (2024)
by: Jenko, Slobodan, et al.
Published: (2024)
An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated Text
by: Schoenegger, Loris, et al.
Published: (2024)
by: Schoenegger, Loris, et al.
Published: (2024)
WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models
by: Yang, Chenyuan, et al.
Published: (2023)
by: Yang, Chenyuan, et al.
Published: (2023)
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers
by: You, Kaichao, et al.
Published: (2024)
by: You, Kaichao, et al.
Published: (2024)
Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods
by: Doshi, Jai, et al.
Published: (2024)
by: Doshi, Jai, et al.
Published: (2024)
Automatic Functional Differentiation in JAX
by: Lin, Min
Published: (2023)
by: Lin, Min
Published: (2023)
Deep Learning-based Method for Expressing Knowledge Boundary of Black-Box LLM
by: Sheng, Haotian, et al.
Published: (2026)
by: Sheng, Haotian, et al.
Published: (2026)
Training Deliberative Monitors for Black-Box Scheming Detection
by: Sinha, Aditya, et al.
Published: (2026)
by: Sinha, Aditya, et al.
Published: (2026)
Filter Equivariant Functions: A symmetric account of length-general extrapolation on lists
by: Lewis, Owen, et al.
Published: (2025)
by: Lewis, Owen, et al.
Published: (2025)
Verifying Computational Graphs in Production-Grade Distributed Machine Learning Frameworks
by: Zulkifli, Kahfi S., et al.
Published: (2025)
by: Zulkifli, Kahfi S., et al.
Published: (2025)
Recursive Function Definitions in Static Dataflow Graphs and their Implementation in TensorFlow
by: Kostopoulou, Kelly, et al.
Published: (2024)
by: Kostopoulou, Kelly, et al.
Published: (2024)
Does It Make Sense to Explain a Black Box With Another Black Box?
by: Delaunay, Julien, et al.
Published: (2024)
by: Delaunay, Julien, et al.
Published: (2024)
CodeCloak: A Method for Evaluating and Mitigating Code Leakage by LLM Code Assistants
by: Noah, Amit Finkman, et al.
Published: (2024)
by: Noah, Amit Finkman, et al.
Published: (2024)
DVM: A Bytecode Virtual Machine Approach for Dynamic Tensor Computation
by: Fang, Jingzhi, et al.
Published: (2026)
by: Fang, Jingzhi, et al.
Published: (2026)
Enhancing Large Language Models for Hardware Verification: A Novel SystemVerilog Assertion Dataset
by: Menon, Anand, et al.
Published: (2025)
by: Menon, Anand, et al.
Published: (2025)
Data-driven Verification of Procedural Programs with Integer Arrays
by: Bouajjani, Ahmed, et al.
Published: (2025)
by: Bouajjani, Ahmed, et al.
Published: (2025)
A Watermark for Black-Box Language Models
by: Bahri, Dara, et al.
Published: (2024)
by: Bahri, Dara, et al.
Published: (2024)
Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation
by: Ding, Yaoyao, et al.
Published: (2025)
by: Ding, Yaoyao, et al.
Published: (2025)
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
by: Sawczyn, Albert, et al.
Published: (2025)
by: Sawczyn, Albert, et al.
Published: (2025)
Bounded Behavioral Indistinguishability for Black-Box LLM Distillation
by: Hasan, Munawar
Published: (2026)
by: Hasan, Munawar
Published: (2026)
Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning
by: Zhang, Mingtian, et al.
Published: (2024)
by: Zhang, Mingtian, et al.
Published: (2024)
DaCe AD: Unifying High-Performance Automatic Differentiation for Machine Learning and Scientific Computing
by: Boudaoud, Afif, et al.
Published: (2025)
by: Boudaoud, Afif, et al.
Published: (2025)
Magellan: Autonomous Discovery of Novel Compiler Optimization Heuristics with AlphaEvolve
by: Chen, Hongzheng, et al.
Published: (2026)
by: Chen, Hongzheng, et al.
Published: (2026)
A Deep Dive into Function Inlining and its Security Implications for ML-based Binary Analysis
by: Abusabha, Omar, et al.
Published: (2025)
by: Abusabha, Omar, et al.
Published: (2025)
Automatically Testing Functional Properties of Code Translation Models
by: Eniser, Hasan Ferit, et al.
Published: (2023)
by: Eniser, Hasan Ferit, et al.
Published: (2023)
An LLM-Tool Compiler for Fused Parallel Function Calling
by: Singh, Simranjit, et al.
Published: (2024)
by: Singh, Simranjit, et al.
Published: (2024)
Detecting Buggy Contracts via Smart Testing
by: Wang, Sally Junsong, et al.
Published: (2024)
by: Wang, Sally Junsong, et al.
Published: (2024)
PCS: Perceived Confidence Scoring of Black Box LLMs with Metamorphic Relations
by: Salimian, Sina, et al.
Published: (2025)
by: Salimian, Sina, et al.
Published: (2025)
Hierarchical Text Classification Using Black Box Large Language Models
by: Yoshimura, Kosuke, et al.
Published: (2025)
by: Yoshimura, Kosuke, et al.
Published: (2025)
SafePassage: High-Fidelity Information Extraction with Black Box LLMs
by: Barrow, Joe, et al.
Published: (2025)
by: Barrow, Joe, et al.
Published: (2025)
SODA: Semi On-Policy Black-Box Distillation for Large Language Models
by: Chen, Xiwen, et al.
Published: (2026)
by: Chen, Xiwen, et al.
Published: (2026)
Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention
by: Chang, Shuochen, et al.
Published: (2026)
by: Chang, Shuochen, et al.
Published: (2026)
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers
by: Bouchard, Dylan, et al.
Published: (2025)
by: Bouchard, Dylan, et al.
Published: (2025)
vLLM Hook v0: A Plug-in for Programming Model Internals on vLLM
by: Ko, Ching-Yun, et al.
Published: (2026)
by: Ko, Ching-Yun, et al.
Published: (2026)
Towards Universal and Black-Box Query-Response Only Attack on LLMs with QROA
by: Jawad, Hussein, et al.
Published: (2024)
by: Jawad, Hussein, et al.
Published: (2024)
A Deep Learning Model for Predicting Transformation Legality
by: Tiwari, Avani, et al.
Published: (2025)
by: Tiwari, Avani, et al.
Published: (2025)
A Formally Verified Robustness Certifier for Neural Networks (Extended Version)
by: Tobler, James, et al.
Published: (2025)
by: Tobler, James, et al.
Published: (2025)
PolyBlocks: A Compiler Infrastructure for AI Chips and Programming Frameworks
by: Bondhugula, Uday, et al.
Published: (2026)
by: Bondhugula, Uday, et al.
Published: (2026)
Similar Items
-
Conservative & Aggressive NaNs Accelerate U-Nets for Neuroimaging
by: Gonzalez-Pepe, Inés, et al.
Published: (2026) -
OverNaN: NaN-Aware Oversampling for Imbalanced Learning with Meaningful Missingness
by: Barnard, Amanda S
Published: (2026) -
Black-Box Adversarial Attacks on LLM-Based Code Completion
by: Jenko, Slobodan, et al.
Published: (2024) -
An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated Text
by: Schoenegger, Loris, et al.
Published: (2024) -
WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models
by: Yang, Chenyuan, et al.
Published: (2023)