CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations

This repository contains the code for the publication "Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations"

Code and data for paper "Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving"

Code for the paper accepted at COLING 2025: "Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem" (Wang et al., 2025)

MSc Thesis: Bridging mechanistic interpretability circuits to faithful natural language explanations using ERASER evaluation metrics

Code for the TACL paper "Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks"

Code and data for paper "Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations"

Replication package for “Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models” (xAI 2026): code, data, prompts, and evaluation for chain-of-illocution prompting in textbook-grounded RAG.

FarExStance: The first and largest claim-based explainable stance detection dataset on Farsi