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Showing 2584-2604 of 4,487 articles

Force-Based Robotic Imitation Learning: A Two-Phase Approach for Construction Assembly Tasks

The drive for efficiency and safety in construction has boosted the role of robotics and automatio...

Jan 2025 http://arxiv.org/abs/2501.14942v1

An Empirical Study on LLM-based Classification of Requirements-related Provisions in Food-safety Regulations

As Industry 4.0 transforms the food industry, the role of software in achieving compliance with fo...

Jan 2025 http://arxiv.org/abs/2501.14683v1

Fat-to-Thin Policy Optimization: Offline RL with Sparse Policies

Sparse continuous policies are distributions that can choose some actions at random yet keep stric...

Jan 2025 http://arxiv.org/abs/2501.14373v1

Enhanced PEC-YOLO for Detecting Improper Safety Gear Wearing Among Power Line Workers

To address the high risks associated with improper use of safety gear in complex power line enviro...

Jan 2025 http://arxiv.org/abs/2501.13981v1

Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis

Even though neural networks are being increasingly deployed in safety-critical control application...

Jan 2025 http://arxiv.org/abs/2501.13023v2

T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation

Text-to-image (T2I) models have rapidly advanced, enabling the generation of high-quality images f...

Jan 2025 http://arxiv.org/abs/2501.12612v2

The Dual-use Dilemma in LLMs: Do Empowering Ethical Capacities Make a Degraded Utility?

Recent years have witnessed extensive efforts to enhance Large Language Models (LLMs) across vario...

Jan 2025 http://arxiv.org/abs/2501.13952v2

Development of Application-Specific Large Language Models to Facilitate Research Ethics Review

Institutional review boards (IRBs) play a crucial role in ensuring the ethical conduct of human su...

Jan 2025 http://arxiv.org/abs/2501.10741v2

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks

Ensuring safety alignment has become a critical requirement for large language models (LLMs), part...

Jan 2025 http://arxiv.org/abs/2501.10639v1

Public Health & Policy

Browse Categories

Force-Based Robotic Imitation Learning: A Two-Phase Approach for Construction Assembly Tasks

An Empirical Study on LLM-based Classification of Requirements-related Provisions in Food-safety Regulations

Fat-to-Thin Policy Optimization: Offline RL with Sparse Policies

Enhanced PEC-YOLO for Detecting Improper Safety Gear Wearing Among Power Line Workers

Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis

T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation

The Dual-use Dilemma in LLMs: Do Empowering Ethical Capacities Make a Degraded Utility?

Development of Application-Specific Large Language Models to Facilitate Research Ethics Review

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks

MSTS: A Multimodal Safety Test Suite for Vision-Language Models

A Vessel Bifurcation Landmark Pair Dataset for Abdominal CT Deformable Image Registration (DIR) Validation

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying

Phase of Flight Classification in Aviation Safety using LSTM, GRU, and BiLSTM: A Case Study with ASN Dataset

Aviation Safety Enhancement via NLP & Deep Learning: Classifying Flight Phases in ATSB Safety Reports

Determining Disturbance Recovery Conditions by Inverse Sensitivity Minimization

Driver Age and Its Effect on Key Driving Metrics: Insights from Dynamic Vehicle Data

MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome Prediction

Natural Language Processing and Deep Learning Models to Classify Phase of Flight in Aviation Safety Occurrences

Sequential Classification of Aviation Safety Occurrences with Natural Language Processing

Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation

MedCT: A Clinical Terminology Graph for Generative AI Applications in Healthcare

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