Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23

A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects

[EMNLP '23] Discriminator-Guided Chain-of-Thought Reasoning

Autonomous agent networks for task automation that requires multi-step reasoning

[ICCV 2025] A Benchmark for Multi-Step Reasoning in Long Narrative Videos

[ACL 2023] Learning Multi-step Reasoning by Solving Arithmetic Tasks. https://arxiv.org/abs/2306.01707

TreeThinkerAgent is a lightweight orchestration layer that turns any LLM into an autonomous multi-step reasoning agent. It supports multi-step planning, tool execution, and final synthesis while exposing the entire reasoning process as a tree you can explore.

From Symbolic Logic Reasoning to Soft Reasoning: A Neural-Symbolic Paradigm

Official repository for ODQA experiments from Decomposed Prompting: A Modular Approach for Solving Complex Tasks, ICLR23

Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation

Official implementation for "Get an A in Math: Progressive Rectification Prompting" (AAAI 2024)

Implementation of "Building Agentic RAG with LlamaIndex" offered by DeepLearning.AI focusing on developing intelligent research agents using the Retrieval-Augmented Generation (RAG) framework.

PARARULE Plus: A Larger Deep Multi-Step Reasoning Dataset over Natural Language

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models

The course teaches how to fine-tune LLMs using Group Relative Policy Optimization (GRPO)—a reinforcement learning method that improves model reasoning with minimal data. Learn RFT concepts, reward design, LLM-as-a-judge evaluation, and deploy jobs on the Predibase platform.

MCP-based OSINT intelligence platform with LangGraph AI agent. Implements multi-step reasoning (task decomposition, hypothesis testing, self-reflection, verification) for autonomous geopolitical research. Supports Gemini, Grok, Ollama, and Docker Model Runner

A general-purpose X-Ray library and dashboard that provides visibility into multi-step decision pipelines by capturing and visualizing why each decision was made.

Learning project: Multi-step LLM chains for expense validation against company policies (OpenAI, TypeScript)

🧠 Project Description This project builds an Agentic Reasoning System that can autonomously break down complex logic problems into smaller subtasks, select the right tools, and verify each step for accuracy. It goes beyond traditional LLM inference by performing multi-step, transparent reasoning with human-readable traces. The system combines sym

PromptForge – AI Research Assistant with Prompt Chaining