reasoning-models

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

Implement a reasoning LLM in PyTorch from scratch, step by step

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B

[Neurips 2025] R-KV: Redundancy-aware KV Cache Compression for Reasoning Models

[ACL 2026 Oral] "LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?"

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models

Official repository for EXAONE Deep built by LG AI Research

Official implementation of the NeurIPS 2025 paper "Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space"

MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs

[NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.

Official Repository of OmniCaptioner

A skill to kill from-scratch coding — Claude checks real arXiv prior art before it designs a new architecture.

Pivotal Token Search

xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

[CVPR 2026] ReasonMap: Towards Fine-Grained Visual Reasoning from Transit Maps

An interactive thinking and deep reasoning model. It provides a cognitive reasoning paradigm for complex multi-hop problems.

Community registry of LLM serving-path traps that produce confidently wrong measurements: templates, tool parsers, reasoning fields, quant kernel paths, CUDA toolchains, KV allocation, eval harnesses, versioning. Symptom-first, with the check that catches each.

Weak-to-Strong Generalization via Direct On-Policy Distillation

[NeurIPS 2025] VeriThinker: Learning to Verify Makes Reasoning Model Efficient