Reasoning Chain Explanations
3 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Reasoning Chain Explanations
| Trend | Dataset | Best Model | Paper | Code | Compare |
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eQASC
Most implemented papers
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering
harsh19/Reasoning-Chains-MultihopQA
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EMNLP 2020
The third dataset eOBQA is constructed by adding explanation annotations to the OBQA dataset to test generalization of models trained on eQASC.
TorchPRISM: Principal Image Sections Mapping, a novel method for Convolutional Neural Network features visualization
In this paper we introduce a tool called Principal Image Sections Mapping - PRISM, dedicated for PyTorch, but can be easily ported to other deep learning frameworks.
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations
giacoballoccu/explanation-quality-recsys
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Existing explainable recommender systems have mainly modeled relationships between recommended and already experienced products, and shaped explanation types accordingly (e. g., movie "x" starred by actress "y" recommended to a user because that user watched other movies with "y" as an actress).
