Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
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Updated
Sep 1, 2024 - Jupyter Notebook
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".
Must-read papers on knowledge graph reasoning
Source codes and datasets for EMNLP 2020 paper "Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph"
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
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"
Shared Task for the COLING 2020 conference
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.
Code for KU Leuven LIIR lab's submission to the TextGraphs-14 shared task on Multi-Hop Inference for Explanation Regeneration
[AAAI 2023] Official resources of "NQE: N-ary Query Embedding for Complex Query Answering over Hyper-relational Knowledge Graphs".
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"
Anti-faCtual COmmonsense Reasoning Disentanglement
Implementation for the paper "Understanding and Patching Compositional Reasoning in LLMs" @ ACL2024-Findings, Bangkok, Thailand.
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