Papers with explanation accuracy

3 papers
What-if I ask you to explain: Explaining the effects of perturbations in procedural text (2020.findings-emnlp)

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Challenge: QUARTET constructs explanations from paragraphs using procedural text . qartet achieves 18 points better on explanation accuracy compared to strong baselines on a recent process comprehension benchmark.
Approach: They propose a system that constructs explanations from paragraphs by modeling the explanation task as a multitask learning problem.
Outcome: The proposed system achieves 18 points better on explanation accuracy compared to strong baselines on a process comprehension benchmark.
ICDAGENT: Empowering Agentic Large Language Models for Explainable Medical Coding (2026.acl-long)

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Challenge: Existing models lack convincing, human-understandable explanations, making them difficult for physicians to trust and use in practice.
Approach: They propose a framework that aims to automatically assign ICD codes to clinical notes while providing explicit justifications for each assignment.
Outcome: The proposed framework achieves effective ICD coding with accurate explanations using two collaborative LLM agents: a coding agent and a critical agent.
NILE : Natural Language Inference with Faithful Natural Language Explanations (2020.acl-main)

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Challenge: Recent growth in popularity of deep learning models on NLP classification tasks has accompanied the need for generating some form of natural language explanation of predicted labels.
Approach: They propose a novel method which generates labels along with its faithful explanations.
Outcome: The proposed method is more accurate than previously reported methods and has higher sensitivity than previous methods.

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