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Nan Zhang
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Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models
G Bai, Z Chai, C Ling, S Wang, J Lu, N Zhang, T Shi, Z Yu, M Zhu, ...
arXiv preprint arXiv:2401.00625, 2024
412024
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs
R Kamoi, Y Zhang, N Zhang, J Han, R Zhang
arXiv preprint arXiv:2406.01297, 2024
42024
Fair Abstractive Summarization of Diverse Perspectives
Y Zhang, N Zhang, Y Liu, A Fabbri, J Liu, R Kamoi, X Lu, C Xiong, J Zhao, ...
NAACL 2024, 2023
42023
FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization
N Zhang, Y Zhang, W Guo, P Mitra, R Zhang
EMNLP 2023, 2023
32023
LLMs assist NLP Researchers: Critique Paper (Meta-) Reviewing
J Du, Y Wang, W Zhao, Z Deng, S Liu, R Lou, HP Zou, PN Venkit, ...
arXiv preprint arXiv:2406.16253, 2024
22024
STAPI: An Automatic Scraper for Extracting Iterative Title-Text Structure from Web Documents
N Zhang, S Wilson, P Mitra
LREC 2022, 2022
22022
Pruning as a Domain-specific LLM Extractor
N Zhang, Y Liu, X Zhao, W Cheng, R Bao, R Zhang, P Mitra, H Chen
NAACL 2024, 2024
12024
Evaluating LLMs at Detecting Errors in LLM Responses
R Kamoi, SSS Das, R Lou, JJ Ahn, Y Zhao, X Lu, N Zhang, Y Zhang, ...
arXiv preprint arXiv:2404.03602, 2024
12024
PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific Documents
N Zhang, C Heaton, ST Okonsky, P Mitra, HE Toraman
LREC-COLING 2024, 2024
12024
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