Research map / Large language models
AI and society: research map
827 accepted papers on AI and society in Large language models, from ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026), grouped into 2 clusters and 8 approaches. The busiest year so far is 2025.
Within Large language models, its share shrank from 11.4% in 2023–24 to 7.4% in 2025–26 (226 → 511 papers at ICML, NeurIPS, CVPR and AAAI, the venues with data for all four years).
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Approaches and key papers
human · systems · argue · 742 papers
Approaches in this cluster:
- Human-centered trust and agency (161 papers)
Model human trust, reliance, and agency when people work with AI systems and regulation. - Social-science view of AI evaluation (159 papers)
Argue for rigorous, socially grounded measurement and broader evaluation of AI systems. - Data commons and human baselines (159 papers)
Measure AI's societal footprint, data consent, and rigor of human baselines. - Critiques of LLM claims and judging (104 papers)
Examine validity of LLM research claims, LLM-as-judge use, and research benchmarks. - Benchmarking and reproducibility practice (104 papers)
Promote common task frameworks, dataset documentation, and replication for scientific ML. - AI for health and public decisions (55 papers)
Apply AI frameworks to health monitoring, mental health, and equitable public decisions.
Most cited and most cited since 2024:
- SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems (NeurIPS 2019 · 984 citations)
- CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation (NeurIPS 2021 · 408 citations)
- MemoryBank: Enhancing Large Language Models with Long-Term Memory (AAAI 2024 · 201 citations)
- Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews (ICML 2024 · 70 citations)
students · education · teaching · 85 papers
Approaches in this cluster:
- Teacher needs and AI curricula (45 papers)
Survey and design AI literacy education for K-12 teachers and educator preparation. - Classroom tools and student perceptions (40 papers)
Build and evaluate interactive classroom tools and study how students use generative AI.
Most cited and most cited since 2024:
- Students’ Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming (AAAI 2024 · 46 citations)
- Co-designing AI Education Curriculum with Cross-Disciplinary High School Teachers (AAAI 2024 · 37 citations)
- An Effectiveness Study of Teacher-Led AI Literacy Curriculum in K-12 Classrooms (AAAI 2024 · 29 citations)
- Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education (AAAI 2024 · 20 citations)
Related topics in Large language models
- Reasoning and chain of thought (1,557)
- Instruction and fine-tuning (871)
- Retrieval and knowledge (1,064)
- Agents, code and math (1,722)
- Alignment and preferences (665)
- Language, safety and interpretability (2,928)
