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SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning., , , , , and . NeurIPS, page 18241-18255. (2021)Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales., , , , , , , , and . ACL (1), page 7103-7128. Association for Computational Linguistics, (2023)PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales., , , , and . ICLR, OpenReview.net, (2023)ReviewFlow: Intelligent Scaffolding to Support Academic Peer Reviewing., , , and . IUI, page 120-137. ACM, (2024)FRAME: Evaluating Simulatability Metrics for Free-Text Rationales., , , , , , and . CoRR, (2022)RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models., , , , , , , , , and 1 other author(s). NAACL-HLT, page 5784-5809. Association for Computational Linguistics, (2024)Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models., , , , , , , , , and 1 other author(s). CoRR, (2023)Learning Contextualized Knowledge Structures for Commonsense Reasoning., , , , , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 4038-4051. Association for Computational Linguistics, (2021)UNIREX: A Unified Learning Framework for Language Model Rationale Extraction., , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 2867-2889. PMLR, (2022)XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models., , , , , , , , , and 1 other author(s). ACL (demo), page 264-273. Association for Computational Linguistics, (2023)