fscdc/Awesome-Efficient-Reasoning-Models

[IEEE T-PAMI] Awesome-Efficient-Inference-for-LRMs is a collection of state-of-the-art, novel, exciting, token-efficient methods for Large Reasoning Models (LRMs). It contains papers, codes, datasets, evaluations, and analyses. https://arxiv.org/pdf/2503.23077

✨✨Latest Papers and Benchmarks in Reasoning with Foundation Models

This repository contains a regularly updated paper list for LLMs-reasoning-in-latent-space.

Survey and paper list on efficiency-guided LLM agents (memory, tool use, planning).

📖 This is a repository for organizing papers, codes, and other resources related to Latent Reasoning.

A Survey of Reinforcement Learning for Large Reasoning Models

A curated list of papers and resources based on the survey "Agentic Reasoning for Large Language Models"

A series of technical report on Slow Thinking with LLM

Repo for "Large Language Model Reasoning Failures"