ReviewPatterns (New York, N.Y.)2025
Toward large reasoning models: A survey of reinforced reasoning with large language models.
Review in Patterns (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Development and Exploratory Evaluation of a Large Language Model-Supported Scoping Review Workflow.Journal of medical systems · 2026Article
- The rise of agentic AI in drug discovery from static tools to autonomous virtual scientists.npj drug discovery · 2026Review
- Interpreting antibody identification tests with large language models: Critical role of tabular data formatting.Transfusion · 2026Article
- Active inference and artificial reasoning.Nature communications · 2026Article
- Evaluating large language models for lay summaries of radiology reports using tailored prompting strategies and mixed-method assessment.PLOS digital health · 2026Article
- Augmenting patient safety surveillance in radiation oncology with large language model-based root cause analysis: A proof-of-concept study.PLOS digital health · 2026Article
- How well can off-the-shelf LLMs elucidate molecular structures from mass spectra using chain-of-thought reasoning?Journal of cheminformatics · 2026Article
- Polymer-Agent: Large Language Model Agent for Polymer Design.Journal of chemical information and modeling · 2026Article
- DeepSeek-R1 vs. OpenAI o1 in colorectal cancer screening: a binational evaluation.BMC gastroenterology · 2026Article
- General-Purpose Models for the Chemical Sciences: LLMs and Beyond.Chemical reviews · 2026Review
- Evaluating reasoning large language models with human-like thinking in ophthalmic question answering.BMJ open ophthalmology · 2026Article
- AI in the Hot Seat: Head-to-Head Comparison of Large Language Models and Cardiologists in Emergency Scenarios.Medical sciences (Basel, Switzerland) · 2026Article
- Generating reliable software project task flows using large language models through prompt engineering and robust evaluation.Scientific reports · 2025Article
- Lessons from complex systems science for AI governance.Patterns (New York, N.Y.) · 2025Review
- Train-Time and Test-Time Computation in Large Language Models for Error Detection and Correction in Electronic Medical Records: A Retrospective Study.Diagnostics (Basel, Switzerland) · 2025Article
- A large language model improves clinicians' diagnostic performance in complex critical illness cases.Critical care (London, England) · 2025Article
- DruGagent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction.ArXiv · 2025Article
- Evaluating Large Language Models for Accuracy and Completeness of Vitiligo Patient Education: A Comparative Analysis.Clinical, cosmetic and investigational dermatology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Language has long been an essential tool for human reasoning. The rise of large language models (LLMs) has led to research on their application in complex reasoning tasks. Researchers are exploring the concept of "thought," which represents intermediate reasoning steps, allowing LLMs to emulate humanlike reasoning processes. Recent work has applied reinforcement learning (RL) to train LLMs by searching for high-quality reasoning trajectories through trial-and-error exploration. In parallel, studies also demonstrate that allowing LLMs to "think" with longer chains of intermediate tokens at test time can also substantially improve reasoning accuracy. The combination of training and test-time advancements outlines a path toward large reasoning models. This survey reviews recent progress in LLM reasoning. It covers foundational concepts behind LLMs and the key technical components that contribute to the development of large reasoning models, and it highlights popular open-source projects for building these models. The survey concludes by discussing ongoing challenges and future research directions in this field.
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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.