Binary Classification
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Benchmarks
Most implemented
Bayesian regression and Bitcoin
Sampling Generative Networks
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
wav2vec: Unsupervised Pre-training for Speech Recognition
Papers
External Observers May See More Clearly: Cross-Model Span-Level Hallucination Detection in Large Language Models via Hidden State Probing
As Large Language Models (LLMs) increasingly serve as foundational reasoning engines, their tendency to hallucinate remains a critical vulnerability. While recent internal state probes offer a promising alternative to sl…
Binary ClassificationControllable Multi-label Video Safety Detection via Adaptive Tversky Policy Optimization
The rapid growth of video-based social media has increased users' exposure to harmful content, creating a need for reliable automated video safety detection. Although recent Vision-Language Models (VLMs) show strong vide…
Reinforcement LearningBinary ClassificationA Hybrid Approach to Malware Detection: Integrating Few-Shot Model-Agnostic Meta-Learning with Autoencoders
Ransomware has emerged as a major cybersecurity threat, with incidents increasing in frequency and impact across critical sectors. These attacks are typically launched through phishing emails, malicious downloads, or exp…
Binary ClassificationMalware DetectionProbPlug: A Plugin Uncertainty Network for Reliable Confidence in LLM Binary Classification
Large language models (LLMs) have achieved strong performance across a broad range of classification settings, yet the reliability of their predictions remains a major obstacle to deployment in high-stakes scenarios. Alt…
Binary ClassificationWho Are They to Each Other? Multi-Agent Reasoning for Speaker Relationship Inference
Inferring speaker relationships from spoken conversations is an important step towards socially aware speech understanding. However, this task remains underexplored, and supervised modeling is costly to train and scale. …
Binary ClassificationSpectral Features Dominate BCG Respiratory-Event Detection: A Large-Scale Patient-Independent Comparison of Feature Groups in Sleep Apnea Patients
Unobtrusive ballistocardiographic (BCG) sensing is a promising modality for long-term sleep-apnea monitoring, yet it remains unclear which signal features are most discriminative for respiratory-event detection. We prese…
Binary Classification