Value Over Language Model: Detecting Original Contribution in Writing
cs.AI, cs.CL
Submitted: 2026-09-01
Updated: 2026-09-01
Comments: 39 pages
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation
- "I Didn't Make the Micro Decisions": Measuring, Inducing, and Exposing Goal-Level AI Contributions in Collaboration
- Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
- Mapping the Increasing Use of LLMs in Scientific Papers
- DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
- GPT-4o System Card
- Rethinking LLM Memorization through the Lens of Adversarial Compression
- EditLens: Quantifying the Extent of AI Editing in Text
- Measuring Human Contribution in AI-Assisted Content Generation
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection