Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness

Code and data for the ACL 2024 Findings paper "Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning"

Official Implementation of ACL2024 paper "Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs"(https://arxiv.org/abs/2402.11199).

The Dataset and Official Implementation for <Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations> @ ACL 2024

About The corresponding code from our paper " Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning" . Do not hesitate to open an issue if you run into any trouble!

On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness

[NeurIPS 2024] An advanced persona-driven role-playing system with global faithfulness quantification and optimization. In memory of the Koishi's Day of 2024.

[EMNLP 2023] A Causal View of Entity Bias in (Large) Language Models

IBM AI explainability