A collection of research papers related to Knowledge Reasoning with Natural Language Models.
Mainly contributed and maintained by Zaiqiao, Moy and Songbo.
All PRs and contritutions are very welcome!
- Bosselut, Antoine, et al. COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. June 2019. paper.
- Da, Jeff, et al. Analyzing Commonsense Emergence in Few-Shot Knowledge Models. Sept. 2021. paper.
- Liu, Jiacheng, et al. Generated Knowledge Prompting for Commonsense Reasoning. Mar. 2022. paper.
- ---. Generated Knowledge Prompting for Commonsense Reasoning. Mar. 2022. paper.
- Sap, Maarten, et al. Commonsense Reasoning for Natural Language Processing. 2020. paper.
- Arabshahi, Forough, et al. Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. Sept. 2021. paper.
- Kassner, Nora, et al. Are Pretrained Language Models Symbolic Reasoners over Knowledge?. 2020. paper.
- Minervini, Pasquale, et al. Differentiable Reasoning on Large Knowledge Bases and Natural Language. Apr. 2020. paper.
- Yang, Kaiyu, and Jia Deng. Learning Symbolic Rules for Reasoning in Quasi-Natural Language. Nov. 2021. paper.
- Rabe, Markus Norman, et al. Mathematical Reasoning via Self-Supervised Skip-Tree Training. 2020. paper.
- Wei, Jason, et al. Chain of Thought Prompting Elicits Reasoning in Large Language Models. Jan. 2022. paper.
- Welleck, Sean, et al. NaturalProofs: Mathematical Theorem Proving in Natural Language. June 2021. paper.
- The Enigma of Reason: A New Theory of Human Understanding
by Hugo Mercier and Dan Sperber
- The Book of Why: The New Science of Cause and Effect
by Judea Pearl and Dana Mackenzie.
- ATOMIC 2020: A commonsense knowledge graph with 1.33M everyday inferential knowledge tuples about entities and events.
- TransOMCS: TransOMCS contains 20 commonsense relations, 101 thousand unique words, and 18.48 million triplets.
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Deep-Reasoning-Papers: Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, natural language reasoning and any other topics connecting deep learning and reasoning.
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Awesome Explainable Graph Reasoning: A collection of research papers and software related to explainability in graph machine learning.