{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T14:31:20Z","timestamp":1754145080163,"version":"3.41.2"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,1,10]]},"DOI":"10.1145\/3725899.3727894","type":"proceedings-article","created":{"date-parts":[[2025,7,11]],"date-time":"2025-07-11T11:33:04Z","timestamp":1752233584000},"page":"86-90","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["DO-FacT: Discrete-Optimized Fact-Tree Prompting Framework for Commonsense Reasoning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4750-0463","authenticated-orcid":false,"given":"Tao","family":"Wen","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China, ChengDu, Sichuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4563-8022","authenticated-orcid":false,"given":"Dali","family":"Zhao","sequence":"additional","affiliation":[{"name":"China National Oil and Gas Exploration and Development Company, ChengDu, Sichuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0122-6098","authenticated-orcid":false,"given":"Ling","family":"Dai","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, ChengDu, Sichuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5339-7792","authenticated-orcid":false,"given":"Shuai","family":"Shao","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, ChengDu, Sichuan, China"}]}],"member":"320","published-online":{"date-parts":[[2025,7,11]]},"reference":[{"key":"e_1_3_3_1_1_2","volume-title":"LLM4QA: Leveraging Large Language Model for Efficient Knowledge Graph Reasoning with SPARQL Query","author":"Mingjing Lan Yi Xia","year":"2024","unstructured":"Mingjing Lan, Yi Xia, Gang Zhou, Ningbo Huang, Zhufeng Li, and Hao Wu. LLM4QA: Leveraging Large Language Model for Efficient Knowledge Graph Reasoning with SPARQL Query. 2024. Journal of Advances in Information Technology, 15, 10, 1157-1162."},{"key":"e_1_3_3_1_2_2","volume-title":"Proceedings of the 36th Conference on Neural Information Processing Systems","author":"Jason Wei Xuezhi Wang","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou. 2022. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Proceedings of the 36th Conference on Neural Information Processing Systems, New Orleans, LA, USA, November 28 - December 9, 2022."},{"key":"e_1_3_3_1_3_2","first-page":"11809","article-title":"Tree of Thoughts: Deliberate Problem Solving with Large Language Models","volume":"36","author":"Yao Shunyu","year":"2023","unstructured":"Yao, Shunyu, Yu, Dian, Zhao, Jeffrey, Shafran, Izhak, Griffiths, Tom, Cao, Yuan, and Narasimhan, Karthik. 2023. Tree of Thoughts: Deliberate Problem Solving with Large Language Models. In Advances in Neural Information Processing Systems, volume 36, 11809-11822. Curran Associates, Inc. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2023\/file\/271db9922b8d1f4dd7aaef84ed5ac703-Paper-Conference.pdf.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.66"},{"issue":"140","key":"e_1_3_3_1_5_2","first-page":"1","article-title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","volume":"21","author":"Raffel Colin","year":"2020","unstructured":"Raffel, Colin, Shazeer, Noam, Roberts, Adam, Lee, Katherine, Narang, Sharan, Matena, Michael, Zhou, Yanqi, Li, Wei, and Liu, Peter J. 2020. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. Journal of Machine Learning Research, 21, 140, 1-67.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_1_6_2","first-page":"46534","article-title":"Self-Refine: Iterative Refinement with Self-Feedback","volume":"36","author":"Madaan Aman","year":"2023","unstructured":"Madaan, Aman, Tandon, Niket, Gupta, Prakhar, Hallinan, Skyler, Gao, Luyu, Wiegreffe, Sarah, Alon, Uri, Dziri, Nouha, Prabhumoye, Shrimai, Yang, Yiming, Gupta, Shashank, Majumder, Bodhisattwa Prasad, Hermann, Katherine, Welleck, Sean, Yazdanbakhsh, Amir, and Clark, Peter. 2023. Self-Refine: Iterative Refinement with Self-Feedback. In Advances in Neural Information Processing Systems, volume 36, 46534-46594. Curran Associates, Inc. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2023\/file\/91edff07232fb1b55a505a9e9f6c0ff3-Paper-Conference.pdf.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_3_1_7_2","volume-title":"Proceedings of the Eleventh International Conference on Learning Representations (ICLR 2023","author":"Xuezhi Wang Jason Wei","year":"2023","unstructured":"Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2023. Self-Consistency Improves Chain of Thought Reasoning in Language Models. In Proceedings of the Eleventh International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 1\u20135, 2023."},{"key":"e_1_3_3_1_8_2","unstructured":"Lanham Tamera Chen Anna Radhakrishnan Ansh Steiner Benoit Denison Carson Hernandez Danny Li Dustin Durmus Esin Hubinger Evan Kernion Jackson Luko\u0161i\u016bt\u0117 Kamil\u0117 Nguyen Karina Cheng Newton Joseph Nicholas Schiefer Nicholas Rausch Oliver Larson Robin McCandlish Sam Kundu Sandipan Kadavath Saurav Yang Shannon Henighan Thomas Maxwell Timothy Telleen-Lawton Timothy Hume Tristan Hatfield-Dodds Zac Kaplan Jared Brauner Jan Bowman Samuel R. and Perez Ethan. 2023. Measuring Faithfulness in Chain-of-Thought Reasoning. arXiv preprint. https:\/\/arxiv.org\/abs\/2307.13702."},{"key":"e_1_3_3_1_9_2","first-page":"74952","article-title":"Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting","volume":"36","author":"Turpin Miles","year":"2023","unstructured":"Turpin, Miles, Michael, Julian, Perez, Ethan, and Bowman, Samuel. 2023. Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting. In Advances in Neural Information Processing Systems, volume 36, 74952-74965. Curran Associates, Inc. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2023\/file\/ed3fea9033a80fea1376299fa7863f4a-Paper-Conference.pdf.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_3_1_10_2","unstructured":"Long Jieyi. 2023. Large Language Model Guided Tree-of-Thought. arXiv preprint. https:\/\/arxiv.org\/abs\/2305.08291."},{"key":"e_1_3_3_1_11_2","first-page":"11809","article-title":"Tree of Thoughts: Deliberate Problem Solving with Large Language Models","volume":"36","author":"Yao Shunyu","year":"2023","unstructured":"Yao, Shunyu, Yu, Dian, Zhao, Jeffrey, Shafran, Izhak, Griffiths, Tom, Cao, Yuan, and Narasimhan, Karthik. 2023. Tree of Thoughts: Deliberate Problem Solving with Large Language Models. In Advances in Neural Information Processing Systems, volume 36, 11809-11822. Curran Associates, Inc. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2023\/file\/271db9922b8d1f4dd7aaef84ed5ac703-Paper-Conference.pdf.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_3_1_12_2","volume-title":"Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions. In Findings of the Association for Computational Linguistics: EMNLP 2023","author":"Shulin Cao Jiajie Zhang","year":"2023","unstructured":"Shulin Cao, Jiajie Zhang, Jiaxin Shi, Xin Lv, Zijun Yao, Qi Tian, Lei Hou, and Juanzi Li. 2023. Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions. In Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6\u201310, 2023, 12541\u201312560. Association for Computational Linguistics."},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i16.29720"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN60899.2024.10649921"},{"key":"e_1_3_3_1_15_2","first-page":"51008","article-title":"Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery","volume":"36","author":"Wen Yuxin","year":"2023","unstructured":"Wen, Yuxin, Jain, Neel, Kirchenbauer, John, Goldblum, Micah, Geiping, Jonas, and Goldstein, Tom. 2023. Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery. In Advances in Neural Information Processing Systems, volume 36, 51008-51025. Curran Associates, Inc. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2023\/file\/a00548031e4647b13042c97c922fadf1-Paper-Conference.pdf.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00370"},{"key":"e_1_3_3_1_17_2","volume-title":"Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021","author":"Alon Talmor Ori Yoran","year":"2021","unstructured":"Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, and Jonathan Berant. 2021. CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021), Virtual, December 2021."},{"key":"e_1_3_3_1_18_2","volume-title":"Findings of the Association for Computational Linguistics: ACL\/IJCNLP","author":"Shikhar Singh Nuan Wen","year":"2021","unstructured":"Shikhar Singh, Nuan Wen, Yu Hou, Pegah Alipoormolabashi, Te-Lin Wu, Xuezhe Ma, and Nanyun Peng. 2021. COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences. In Findings of the Association for Computational Linguistics: ACL\/IJCNLP 2021, Online Event, August 1\u20136, 2021, 883\u2013898. Association for Computational Linguistics."},{"key":"e_1_3_3_1_19_2","unstructured":"Iyer Srinivasan Lin Xi Victoria Pasunuru Ramakanth Mihaylov Todor Simig Daniel Yu Ping Shuster Kurt Wang Tianlu Liu Qing Koura Punit Singh Li Xian O'Horo Brian Pereyra Gabriel Wang Jeff Dewan Christopher Celikyilmaz Asli Zettlemoyer Luke and Stoyanov Ves. 2023. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization. arXiv:2212.12017. https:\/\/arxiv.org\/abs\/2212.12017."},{"key":"e_1_3_3_1_20_2","volume-title":"Findings of the Association for Computational Linguistics: EMNLP 2023","author":"Weijia Shi Xiaochuang Han","year":"2023","unstructured":"Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, and Luke Zettlemoyer. 2023. Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? In Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6\u201310, 2023, 10994\u201311005."}],"event":{"name":"ICSIM 2025: 2025 The 8th International Conference on Software Engineering and Information Management","acronym":"ICSIM 2025","location":"Singapore Singapore"},"container-title":["Proceedings of the 2025 8th International Conference on Software Engineering and Information Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3725899.3727894","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,16]],"date-time":"2025-07-16T11:35:57Z","timestamp":1752665757000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3725899.3727894"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,10]]},"references-count":20,"alternative-id":["10.1145\/3725899.3727894","10.1145\/3725899"],"URL":"https:\/\/doi.org\/10.1145\/3725899.3727894","relation":{},"subject":[],"published":{"date-parts":[[2025,1,10]]},"assertion":[{"value":"2025-07-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}