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

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

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

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

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

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

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.

🧠 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