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Open-ended Commonsense Reasoning is defined as solving a commonsense question without providing 1) a short list of answer candidates and 2) a pre-defined answer scope.
Generating commonsense explanation by extracting bridge concepts from reasoning paths
Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, and Minlie Huang. 2020 · 2009
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Open-domain commonsense reasoning using discourse relations from a corpus of weblog stories
Matthew Gerber, Andrew Gordon, and Kenji Sagae. 2010 · 2010
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Choice of plausible alternatives: An evaluation of commonsense causal reasoning
Melissa Roemmele, Cosmin Adrian Bejan, and Andrew S Gordon. 2011 · 2011
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Kagnet: Knowledge-aware graph networks for commonsense reasoning
Bill Yuchen Lin, Xinyue Chen, Jamin Chen, and Xiang Ren. 2019 · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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CommonsenseQA: A question answering challenge targeting commonsense knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie, and Jonathan Berant. 2019 · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 2020
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A review: Knowledge reasoning over knowledge graph
Xiaojun Chen, Shengbin Jia, and Yang Xiang. 2020 · 2020
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Text-to-text pre-training for data-to-text tasks
Mihir Kale and Abhinav Rastogi. 2020 · 2020
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Unifiedqa: Crossing format boundaries with a single qa system
Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, and Hannaneh Hajishirzi. 2020 · 2020
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Qasc: A dataset for question answering via sentence composition
Tushar Khot, Peter Clark, Michal Guerquin, Peter Jansen, and Ashish Sabharwal. 2020 · 2020
Cited alongside, same era.
Unsupervised commonsense question answering with self-talk
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. 2020 · 2020
Cited alongside, same era.
Evaluating commonsense in pre-trained language models
Xuhui Zhou, Yue Zhang, Leyang Cui, and Dandan Huang. 2020 · 2020
Cited alongside, same era.
Coco-ex: A tool for linking concepts from texts to conceptnet
Maria Becker, Katharina Korfhage, and Anette Frank. 2021 · 2021
Cited alongside, same era.
Benchmarking knowledge-enhanced commonsense question answering via knowledge-to-text transformation
Ning Bian, Xianpei Han, Bo Chen, and Le Sun. 2021 · 2021
Cited alongside, same era.
Dynamic neuro-symbolic knowledge graph construction for zero-shot commonsense question answering
Knowledge-driven data construction for zero-shot evaluation in commonsense question answering
Kaixin Ma, Filip Ilievski, Jonathan Francis, Yonatan Bisk, Eric Nyberg, and Alessandro Oltramari. 2021 · 2021
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Prompting contrastive explanations for commonsense reasoning tasks
Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2021 · 2021
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Distilling Relation Embeddings from Pre-trained Language Models
Asahi Ushio, Steven Schockaert, and Jose Camacho-Collados. 2021 · 2021
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Qa-gnn: Reasoning with language models and knowledge graphs for question answering
Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, and Jure Leskovec. 2021 · 2021
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Greaselm: Graph reasoning enhanced language models
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D Manning, and Jure Leskovec. 2021 · 2021
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Antoine Bosselut, Ronan Le Bras, and Yejin Choi. 2021 · 2021
Cited alongside, same era.
Incorporating commonsense knowledge graph in pretrained models for social commonsense tasks
Ting-Yun Chang, Yang Liu, Karthik Gopalakrishnan, Behnam Hedayatnia, Pei Zhou, and Dilek Hakkani-Tur. 2021 · 2021
Cited alongside, same era.
Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2021 · 2021
Cited alongside, same era.
Differentiable open-ended commonsense reasoning
Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, and William Cohen. 2021 · 2021
Cited alongside, same era.
Deep generation of heterogeneous networks
Chen Ling, Carl Yang, and Liang Zhao. 2021 · 2021
Cited alongside, same era.
Generated knowledge prompting for commonsense reasoning
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, and Hannaneh Hajishirzi. 2021 · 2021
Cited alongside, same era.
Motif-guided heterogeneous graph deep generation
Chen Ling, Carl Yang, and Liang Zhao. 2023a
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Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, and Liang Zhao. 2023 · 2023
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A survey on knowledge graphs for healthcare: Resources, applications, and promises
Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Chen Ling, Joyce Ho, et al. 2023 · 2023
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Hiprompt: Few-shot biomedical knowledge fusion via hierarchy-oriented prompting
Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, and Carl Yang. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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Balancing specialized and general skills in llms: The impact of modern tuning and data strategy
Zheng Zhang, Chen Zheng, Da Tang, Ke Sun, Yukun Ma, Yingtong Bu, Xun Zhou, and Liang Zhao. 2023 · 2023
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