← Application Areas
Machine Learning › Application Areas ›

Risk Management

1053 directly classified papers

Papers per year

Papers

A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization NIPS 2024
Pricing and Competition for Generative AI NIPS 2024
CORES: Convolutional Response-based Score for Out-of-distribution Detection CVPR 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NIPS 2024
Reliability Estimation of News Media Sources: Birds of a Feather Flock Together NAACL 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression EMNLP 2024
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification CVPR 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers NIPS 2024
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses NIPS 2024
On Leakage of Code Generation Evaluation Datasets EMNLP 2024
SLaCAD: A Spoken Language Corpus for Early Alzheimer’s Disease Detection COLING 2024
Can LLMs Replace Clinical Doctors? Exploring Bias in Disease Diagnosis by Large Language Models EMNLP 2024
Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations EMNLP 2024
Empowering Users and Mitigating Harm: Leveraging Nudging Principles to Enhance Social Media Safety COLING 2024
Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models EMNLP 2024
Proving membership in LLM pretraining data via data watermarks ACL 2024
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent EMNLP 2024
TAAL: Target-Aware Active Learning COLING 2024
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification NIPS 2024
Towards ML-supported Triage Prediction in Real-World Emergency Room Scenarios ACL 2024
Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration EMNLP 2024
Data Contamination Report from the 2024 CONDA Shared Task ACL 2024
Pareto Optimal Learning for Estimating Large Language Model Errors ACL 2024
Deepfake Defense: Constructing and Evaluating a Specialized Urdu Deepfake Audio Dataset ACL 2024
Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction COLING 2024