Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

[ACL'2024 Findings] "Understanding and Patching Compositional Reasoning in LLMs"

Discover advanced AI techniques in my repository combining Multi-Hop Chain of Thought (CoT) and Retrieval-Augmented Generation (RAG) using DSPy and Indexify. Enhance complex problem-solving with multi-step reasoning and external knowledge integration. Perfect for AI enthusiasts and researchers.

The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".

[AAAI 2023] Official resources of "NQE: N-ary Query Embedding for Complex Query Answering over Hyper-relational Knowledge Graphs".

Anti-faCtual COmmonsense Reasoning Disentanglement

Stanford CS224N Final Project. A text-based multi-hop reasoning question-answer NLP model to address the research question: "What if language models could ask their own questions?"

Code for the EACL 2021 paper "Unification-based Reconstruction of Multi-hop Explanations for Science Questions"

EMNLP 22' (Oral): SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning

Code and data for the AAAI 2022 paper "Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration"

This is the code for the MLRC2020 challenge w.r.t. the ACL 2020 paper Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

Source codes and datasets for EMNLP 2020 paper "Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph"

Must-read papers on knowledge graph reasoning

Code for KU Leuven LIIR lab's submission to the TextGraphs-14 shared task on Multi-Hop Inference for Explanation Regeneration

Shared Task for the COLING 2020 conference