A library for advanced large language model reasoning

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning

Training teachers with reinforcement learning able to make LLMs learn how to reason for test time scaling.

🔧Tool-Star: Empowering LLM-brained Multi-Tool Reasoner via Reinforcement Learning

General Reasoner: Advancing LLM Reasoning Across All Domains [NeurIPS25]

Mini-Omni-Reasoner: a real-time speech reasoning framework that interleaves silent reasoning tokens with spoken response tokens (“thinking-in-speaking”), exploiting the LLM–audio throughput gap to keep speech fluent and low-latency while maintaining structured internal reasoning.

Awesome deliberative prompting: How to ask LLMs to produce reliable reasoning and make reason-responsive decisions.

mini-OpenCode is a lightweight experimental Coding Agent inspired by Deer-Code and OpenCode. It explores how LLMs can plan, reason, and iteratively write code with minimal infrastructure, aiming to provide a simple, hackable foundation for understanding and building agentic coding systems.

Teaching LLMs to reason in the Latent Space to precondition responses.

Training LLMs to reason and analyze data with notebooks

Official code for paper "TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning"

Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"

official repo for the paper "Learning From Mistakes Makes LLM Better Reasoner"

[WWW] Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning

Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs

AI-powered security code analyzer using local LLMs for semantic vulnerability detection. Unlike traditional SAST tools, FalconEYE reasons about code contextually, no pattern matching. Supports Python, JavaScript, TypeScript, Go, Rust, C/C++, Java, and more.

A framework bridging cognitive science and LLM reasoning research to diagnose and improve how large language models reason, based on analysis of 192K model traces and 54 human think-aloud traces.

R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement Learning

TME: Structured memory engine for LLM agents to plan, rollback, and reason across multi-step tasks.

A Recipe for Building LLM Reasoners to Solve Complex Instructions

Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents

Awesome LLM papers, news and projects about learning to reason with LLM, OpenAI o1, reasonning techniques, chain-of-thought (COT), Large Language Model, Straberry

[ICLR'26] "Nabla-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space" by Peihao Wang*, Ruisi Cai*, Zhen Wang, Hongyuan Mei, Qiang Liu, Pan Li, Zhangyang Wang

Official Codebase for "ER-Reason: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room"

GraphDancer: Training LLMs to Explore and Reason over Graphs via Curriculum Reinforcement Learning

Official repo for paper: Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs

A general-purpose robotic agent framework based on LLMs. The LLM can independently reason, plan, and execute actions to operate diverse robot types across various scenarios to complete unpredictable, complex tasks.

A Physics-Augmented Agentic Workflow that orchestrates multiple LLMs to reason through conjunction events

A demonstration of using reason and act with llama.cpp and a LLM to pose plain english queries to a sqlite database

[IEEE-TITS(2025)]Interact, Instruct to Improve: A LLM-Driven Parallel Actor-Reasoner Framework for Enhancing Autonomous Vehicle Interactions