Saved in:
| Main Authors: | Mei, Mingchen, Li, Yi, Qian, YiYao, Jia, Zijun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.01208 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MiRD: Reliable Set-Valued Prediction for Open-Ended Question Answering via Miscoverage Risk Decomposition
by: Hu, Anqi, et al.
Published: (2026)
by: Hu, Anqi, et al.
Published: (2026)
BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented Generation
by: Jia, Zijun, et al.
Published: (2026)
by: Jia, Zijun, et al.
Published: (2026)
Syn-Diag: An LLM-based Synergistic Framework for Generalizable Few-shot Fault Diagnosis on the Edge
by: Jia, Zijun, et al.
Published: (2025)
by: Jia, Zijun, et al.
Published: (2025)
Multi-modal Test-time Adaptation via Adaptive Probabilistic Gaussian Calibration
by: Xu, Jinglin, et al.
Published: (2026)
by: Xu, Jinglin, et al.
Published: (2026)
TARA Test-by-Adaptive-Ranks for Quantum Anomaly Detection with Conformal Prediction Guarantees
by: Tasar, Davut Emre, et al.
Published: (2025)
by: Tasar, Davut Emre, et al.
Published: (2025)
Coverage-Guaranteed Speech Emotion Recognition via Calibrated Uncertainty-Adaptive Prediction Sets
by: Jia, Zijun, et al.
Published: (2025)
by: Jia, Zijun, et al.
Published: (2025)
Set-Valued Prediction for Large Language Models with Feasibility-Aware Coverage Guarantees
by: Li, Ye, et al.
Published: (2026)
by: Li, Ye, et al.
Published: (2026)
High Significant Fault Detection in Azure Core Workload Insights
by: Lohia, Pranay, et al.
Published: (2024)
by: Lohia, Pranay, et al.
Published: (2024)
Reliable Real-Time Value at Risk Estimation via Quantile Regression Forest with Conformal Calibration
by: Wang, Du-Yi, et al.
Published: (2026)
by: Wang, Du-Yi, et al.
Published: (2026)
MS-DFTVNet:A Long-Term Time Series Prediction Method Based on Multi-Scale Deformable Convolution
by: Li, Chenghan, et al.
Published: (2025)
by: Li, Chenghan, et al.
Published: (2025)
Contrastive Learning on Medical Intents for Sequential Prescription Recommendation
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2024)
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2024)
Full Bayesian Significance Testing for Neural Networks
by: Liu, Zehua, et al.
Published: (2024)
by: Liu, Zehua, et al.
Published: (2024)
Towards Fault Tolerance in Multi-Agent Reinforcement Learning
by: Shi, Yuchen, et al.
Published: (2024)
by: Shi, Yuchen, et al.
Published: (2024)
FaultDiffusion: Few-Shot Fault Time Series Generation with Diffusion Model
by: Xu, Yi, et al.
Published: (2025)
by: Xu, Yi, et al.
Published: (2025)
Simplification of Risk Averse POMDPs with Performance Guarantees
by: Pariente, Yaacov, et al.
Published: (2024)
by: Pariente, Yaacov, et al.
Published: (2024)
Transformer-Based Predictive Maintenance for Risk-Aware Instrument Calibration
by: Parthasarathy, Adithya, et al.
Published: (2026)
by: Parthasarathy, Adithya, et al.
Published: (2026)
Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction
by: Li, Mingchen, et al.
Published: (2025)
by: Li, Mingchen, et al.
Published: (2025)
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees
by: Nie, Fan, et al.
Published: (2024)
by: Nie, Fan, et al.
Published: (2024)
Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation
by: Zhang, Hanrong, et al.
Published: (2025)
by: Zhang, Hanrong, et al.
Published: (2025)
User-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filtering
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2026)
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2026)
Tests as Prompt: A Test-Driven-Development Benchmark for LLM Code Generation
by: Cui, Yi
Published: (2025)
by: Cui, Yi
Published: (2025)
TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
by: Li, Chenghan, et al.
Published: (2025)
by: Li, Chenghan, et al.
Published: (2025)
Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders
by: Jing, Yi, et al.
Published: (2026)
by: Jing, Yi, et al.
Published: (2026)
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence
by: Mei, Wenjie, et al.
Published: (2024)
by: Mei, Wenjie, et al.
Published: (2024)
High-Dimensional Fault Tolerance Testing of Highly Automated Vehicles Based on Low-Rank Models
by: Mei, Yuewen, et al.
Published: (2024)
by: Mei, Yuewen, et al.
Published: (2024)
OptiSet: Unified Optimizing Set Selection and Ranking for Retrieval-Augmented Generation
by: Jiang, Yi, et al.
Published: (2026)
by: Jiang, Yi, et al.
Published: (2026)
We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems
by: Fang, Junfeng, et al.
Published: (2025)
by: Fang, Junfeng, et al.
Published: (2025)
Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2024)
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2024)
Learning Traffic Signal Control via Genetic Programming
by: Liao, Xiao-Cheng, et al.
Published: (2024)
by: Liao, Xiao-Cheng, et al.
Published: (2024)
SafeMind: Benchmarking and Mitigating Safety Risks in Embodied LLM Agents
by: Chen, Ruolin, et al.
Published: (2025)
by: Chen, Ruolin, et al.
Published: (2025)
When Can We Reuse a Calibration Set for Multiple Conformal Predictions?
by: Balinsky, A. A., et al.
Published: (2025)
by: Balinsky, A. A., et al.
Published: (2025)
Continual Domain Adversarial Adaptation via Double-Head Discriminators
by: Shen, Yan, et al.
Published: (2024)
by: Shen, Yan, et al.
Published: (2024)
Interpreting What Typical Fault Signals Look Like via Prototype-matching
by: Chen, Qian, et al.
Published: (2024)
by: Chen, Qian, et al.
Published: (2024)
SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2024)
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2024)
A Distribution-Free Framework for Rewrite-Based Human-text Detection via Knockoff Filtering
by: Liu, Yi
Published: (2026)
by: Liu, Yi
Published: (2026)
Enhancing Software Vulnerability Detection Through Adaptive Test Input Generation Using Genetic Algorithm
by: Mehendran, Yanusha, et al.
Published: (2025)
by: Mehendran, Yanusha, et al.
Published: (2025)
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection
by: Wang, Luzhi, et al.
Published: (2026)
by: Wang, Luzhi, et al.
Published: (2026)
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models
by: Zhang, Huixuan, et al.
Published: (2024)
by: Zhang, Huixuan, et al.
Published: (2024)
FaithSteer-BENCH: A Deployment-Aligned Stress-Testing Benchmark for Inference-Time Steering
by: Ding, Zikang, et al.
Published: (2026)
by: Ding, Zikang, et al.
Published: (2026)
Efficient Test-Time Scaling via Self-Calibration
by: Huang, Chengsong, et al.
Published: (2025)
by: Huang, Chengsong, et al.
Published: (2025)
Similar Items
-
MiRD: Reliable Set-Valued Prediction for Open-Ended Question Answering via Miscoverage Risk Decomposition
by: Hu, Anqi, et al.
Published: (2026) -
BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented Generation
by: Jia, Zijun, et al.
Published: (2026) -
Syn-Diag: An LLM-based Synergistic Framework for Generalizable Few-shot Fault Diagnosis on the Edge
by: Jia, Zijun, et al.
Published: (2025) -
Multi-modal Test-time Adaptation via Adaptive Probabilistic Gaussian Calibration
by: Xu, Jinglin, et al.
Published: (2026) -
TARA Test-by-Adaptive-Ranks for Quantum Anomaly Detection with Conformal Prediction Guarantees
by: Tasar, Davut Emre, et al.
Published: (2025)