Anti-faCtual COmmonsense Reasoning Disentanglement
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Updated
Jun 6, 2024 - Python
Anti-faCtual COmmonsense Reasoning Disentanglement
Implementation for paper "Understanding and Patching Compositional Reasoning in LLMs" @ ACL2024-Findings, Bangkok, Thailand.
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
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?"
[AAAI 2023] Official resources of "NQE: N-ary Query Embedding for Complex Query Answering over Hyper-relational Knowledge Graphs".
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
The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".
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
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