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Risk Management

1053 directly classified papers

Papers per year

Papers

Data Monitoring for Large Scale Public Health Data AAAI 2025
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification JMLR 2025
FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making EMNLP 2025
DCC: Differentiable Cardinality Constraints for Partial Index Tracking AAAI 2025
GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC AAAI 2025
Taming the Real-world Complexities in CPT E/M Coding with Large Language Models EMNLP 2025
ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks AAAI 2025
SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction EMNLP 2025
Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction JMLR 2025
AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models AAAI 2025
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution AAAI 2025
AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety Detection ACL 2025
When to Speak, When to Abstain: Contrastive Decoding with Abstention ACL 2025
Exploring the Impact of Instruction-Tuning on LLM’s Susceptibility to Misinformation ACL 2025
A Tale of Evaluating Factual Consistency: Case Study on Long Document Summarization Evaluation ACL 2025
CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ACL 2025
MOZ-Smishing: A Benchmark Dataset for Detecting Mobile Money Frauds ACL 2025
FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning ACL 2025
COVER: Context-Driven Over-Refusal Verification in LLMs ACL 2025
IALab UC at BEA 2025 Shared Task: LLM-Powered Expert Pedagogical Feature Extraction ACL 2025
Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models ACL 2025
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection AAAI 2025
Time Series Supplier Allocation via Deep Black-Litterman Model AAAI 2025
Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation CVPR 2025
Personalized open world plan generation for safety-critical human centered autonomous systems: A case study on Artificial Pancreas EMNLP 2025