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Symbolic knowledge graphs (KGs) play a pivotal role in knowledge-centric applications such as search, question answering and recommendation.
Language models are few-shot learners
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Language Models as Knowledge Bases?
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Introduction to question answering over knowledge graphs
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How Much Knowledge Can You Pack Into the Parameters of a Language Model?. In Proc. EMNLP 2020 . Association for Computational Linguistics, Online, 5418–5426
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Relational world knowledge representation in contextual language models: A review
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Factual Probing Is [MASK]: Learning vs. Learning to Recall. In Proc. NAACL 2021 . Association for Computational Linguistics, Online, 5017–5033
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Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries. In Proc. EACL 2021 . Association for Computational Linguistics, Online, 1772–1791
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The Power of Scale for Parameter-Efficient Prompt Tuning. In Proc. EMNLP 2021 . 3045–3059
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Scientific language models for biomedical knowledge base completion: an empirical study
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Learning How to Ask: Querying LMs with Mixtures of Soft Prompts. In Proc. NAACL 2021 . Association for Computational Linguistics, Online, 5203–5212
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Training language models to follow instructions with human feedback
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Neural-symbolic models for logical queries on knowledge graphs. In Proc. ICML 2022 . PMLR, 27454–27478
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Crawling The Internal Knowledge-Base of Language Models. In Findings of the Association for Computational Linguistics: EACL 2023 . 1811–1824
Roi Cohen, Mor Geva, Jonathan Berant, and Amir Globerson. 2023 · 2023
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Improving Factuality and Reasoning in Language Models through Multiagent Debate
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BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models. In Findings of ACL 2023 . Association for Computational Linguistics, Toronto, Canada, 5000–5015
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Survey of hallucination in natural language generation
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OpenAI. 2023 · 2023
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Evaluating Language Models for Knowledge Base Completion. In Proc. ESWC 2023 . Springer, 227–243
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