ArticleNature2024
Larger and more instructable language models become less reliable.
Article in Nature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed.
- A reproducible optimisation protocol for calibrating prompt-based large language model workflows in evidence synthesis.MethodsX · 2026Article
- Prompt Framing and Evidence Requirement for AI-Generated Educational Responses in Dental Education: Experimental Study.JMIR medical education · 2026Article
- Biomedical Large Language Models and Prompt Engineering for Causality Assessment of Individual Case Safety Reports in Pharmacovigilance.Pharmaceutical research · 2026Article
- Small language models in medicine.Nature biomedical engineering · 2026Article
- A flexible behavioral method for measuring human and artificial intelligence alignment using representational similarity analysis.iScience · 2026Article
- Model predictive task sampling for efficient and robust adaptation.Nature communications · 2026Article
- The Quality of AI-Generated CABG Counseling: A Blinded Comparison of Two Language Models.Journal of clinical medicine · 2026Article
- Measuring Psychological Constructs from Social Media Text Using the Word Embedding Projection Approach.Behavioral sciences (Basel, Switzerland) · 2026Article
- Generative Artificial Intelligence-Empowered Virtual Evolution of Enzyme with the VERnet Model.ACS catalysis · 2026Article
- Generative artificial intelligence-driven chatbots and medical misinformation: an accuracy, referencing and readability audit.BMJ open · 2026Article
- Article
- Human-like cognitive generalization for large models via mental representation-guided supervision.Nature communications · 2026Article
- Multidisciplinary expert evaluation of large language models on questions regarding bariatric surgery: a comparative analysis of ERNIE Bot 4.0, ChatGPT-4, Claude 3 Opus, and Gemini Pro.Scientific reports · 2026Article
- Beyond human gold standards: A multimodel framework for automated abstract classification and information extraction.Research synthesis methods · 2026Article
- Convergence of machine learning and genomics for precision oncology.Nature reviews. Cancer · 2026Review
- DermaGPT a federated multimodal framework with a meta learned trust function for interpretable dermatology diagnostics.Scientific reports · 2026Article
- IoT-LLM: A framework for enhancing large language model reasoning from real-world sensor data.Patterns (New York, N.Y.) · 2026Article
- Corpus-level behavioral intensity in human-AI conversations.Frontiers in artificial intelligence · 2026Article
- Effect of large language model assistance on undergraduate art history question-answering performance: a randomized crossover pilot study.Frontiers in psychology · 2026Article
- LLM-as-a-judge for infection prevention and control and antimicrobial resistance impact: comparing three main LLMs vs. human experts' assessment.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The prevailing methods to make large language models more powerful and amenable have been based on continuous scaling up (that is, increasing their size, data volume and computational resources
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.