User profiles for Meiqi Chen

Meiqi Chen - Verified email at stu.pku.edu.cn - Cited by 276
Meiqi Chen - Verified email at elms.hokudai.ac.jp - Cited by 101

Prompt for extraction? PAIE: Prompting argument interaction for event argument extraction

Y Ma, Z Wang, Y Cao, M Li, M Chen, K Wang… - arXiv preprint arXiv …, 2022 - arxiv.org
In this paper, we propose an effective yet efficient model PAIE for both sentence-level and
document-level Event Argument Extraction (EAE), which also generalizes well when there is a …

Enhanced moisture resistance and catalytic stability of ethylene oxidation at room temperature by the ultrasmall MnOx cluster/Pt hetero-junction

Z Hou, M Chen, Y Liu, J Deng, L Jing, R Gao… - Applied Catalysis B …, 2023 - Elsevier
Ethylene elimination can effectively inhibit the rapid aging of fruits and vegetables in storage
and transportation. Improving the low-temperature activity, moisture resistance, and stability …

Long-term nitrogen fertilization-induced enhancements of acid hydrolyzable nitrogen are mainly regulated by the most vital microbial taxa of keystone species and …

M Chen, J Xu, Z Li, D Li, Q Wang, Y Zhou… - Science of The Total …, 2023 - Elsevier
It is well known that nitrogen (N) fertilizer input is required to improve crop productivity, but
we lack a comprehensive understanding of how elevated N input changes the formation of …

Improving large language models in event relation logical prediction

M Chen, Y Ma, K Song, Y Cao… - Proceedings of the 62nd …, 2024 - aclanthology.org
Event relations are crucial for narrative understanding and reasoning. Governed by nuanced
logic, event relation extraction (ERE) is a challenging task that demands thorough semantic …

ERGO: Event relational graph transformer for document-level event causality identification

M Chen, Y Cao, K Deng, M Li, K Wang, J Shao… - arXiv preprint arXiv …, 2022 - arxiv.org
Document-level Event Causality Identification (DECI) aims to identify causal relations
between event pairs in a document. It poses a great challenge of across-sentence reasoning …

Mmlongbench-doc: Benchmarking long-context document understanding with visualizations

Y Ma, Y Zang, L Chen, M Chen, Y Jiao, X Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Understanding documents with rich layouts and multi-modal components is a long-standing
and practical task. Recent Large Vision-Language Models (LVLMs) have made remarkable …

[HTML][HTML] Reversing ferroptosis resistance by MOFs through regulation intracellular redox homeostasis

…, M Chen, Y Gao, Z Song, H Hu, X Zhao, D Chen… - Asian Journal of …, 2023 - Elsevier
As a non-apoptotic cell death form, ferroptosis offers an alternative approach to overcome
cancer chemotherapy resistance. However, accumulating evidence indicates cancer cells can …

CHEER: Centrality-aware high-order event reasoning network for document-level event causality identification

M Chen, Y Cao, Y Zhang, Z Liu - 2023 - ink.library.smu.edu.sg
Document-level Event Causality Identification (DECI) aims to recognize causal relations
between events within a document. Recent studies focus on building a document-level graph for …

Learning to teach large language models logical reasoning

M Chen, Y Ma, K Song, Y Cao, Y Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have gained enormous attention from both academia and
industry, due to their exceptional ability in language generation and extremely powerful …

Bacterial community composition and assembly along a natural sodicity/salinity gradient in surface and subsurface soils

J Xu, W Gao, B Zhao, M Chen, L Ma, Z Jia, J Zhang - Applied Soil Ecology, 2021 - Elsevier
Soil microbes play a key role in terrestrial ecosystems. In the saline-sodic environment, the
microbial communities and their community assembly processes, especially throughout soil …