--- title: "Erik Cambria — papers of 2023 — 5 papers, the most cited first" description: "Erik Cambria — papers of 2023: 5 papers on Elamur Research, the most cited first — what each work is about in our own words." canonical: "https://research.elamur.ai/free/en/authors/erik-cambria/year/2023/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/erik-cambria/year/2023/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/) / 2023 # Erik Cambria — papers of 2023 — 5 papers, the most cited first 5 papers · [all years of Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/#years) **[Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-really-good/) [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/)**Fangzhi Xu, Qika Lin, Jiawei Han, et al.*2023 · 142 citations* - [Large Language Models for Automated Open-domain Scientific Hypotheses Discovery arXiv:2309.02726](https://md.research.elamur.ai/free/en/papers/yang-2023-large-language-models-automated/) — Zonglin Yang, Xinya Du, Junxian Li, et al. · 2023 · 96 citations - [A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics arXiv:2310.05694](https://md.research.elamur.ai/free/en/papers/he-2023-survey-large-language-models-healthcare/) — Kai He, Rui Mao, Qika Lin, et al. · 2023 · 86 citations - [Logical Reasoning over Natural Language as Knowledge Representation: A Survey arXiv:2303.12023](https://md.research.elamur.ai/free/en/papers/yang-2023-logical-reasoning-over-natural-language/) — Zonglin Yang, Xinya Du, Rui Mao, et al. · 2023 · 27 citations **[Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing](https://md.research.elamur.ai/free/en/papers/li-2023-task-aware-self-supervised-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wei Li, Luyao Zhu, Wei Shao, et al.*2023 · 10 citations*