# Natural Language Inference over Interaction Space: ICLR 2018 Reproducibility Report

arXiv: https://arxiv.org/abs/1802.03198 · HTML: https://mlsanity.com/paper/1802.03198/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Feb 2018.

## Built on by (most cited first, 2 of 2)

- [Contradiction Detection in RAG Systems: Evaluating LLMs as Context Validators for Improved Information Consistency](https://mlsanity.com/paper/2504.00180/) (2025)
- [Co-Driven Recognition of Semantic Consistency via the Fusion of Transformer and HowNet Sememes Knowledge](https://mlsanity.com/paper/2302.10570/) (2023)

## Abstract (arXiv)

We have tried to reproduce the results of the paper "Natural Language Inference over Interaction Space" submitted to ICLR 2018 conference as part of the ICLR 2018 Reproducibility Challenge. Initially, we were not aware that the code was available, so we started to implement the network from scratch. We have evaluated our version of the model on Stanford NLI dataset and reached 86.38% accuracy on the test set, while the paper claims 88.0% accuracy. The main difference, as we understand it, comes from the optimizers and the way model selection is performed.