Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025
cs.CL, cs.AI
Submitted: 2026-06-01
Updated: 2026-09-02
Terminology
Sources
- Argument Summarization and its Evaluation in the Era of Large Language Models
- Language Models are Few-Shot Learners
- TikZero: Zero-Shot Text-Guided Graphics Program Synthesis
- AI4Research: A Survey of Artificial Intelligence for Scientific Research
- DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
- Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation
- HESEIA: A community-based dataset for evaluating social biases in large language models, co-designed in real school settings in Latin America
- The Llama 3 Herd of Models
- TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement Learning
- Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking
- gpt-oss-120b & gpt-oss-20b Model Card
- ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models
- Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science
- OpenAI GPT-5 System Card
- VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models
- AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews
- Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasets
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