notesum.ai

Published at November 16

Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis

cs.CL

cs.AI

cs.IR

Released Date: November 16, 2024

Authors: Jawad Ibn Ahad¹, Rafeed Mohammad Sultan¹, Abraham Kaikobad¹, Fuad Rahman², Mohammad Ruhul Amin³, Nabeel Mohammed¹, Shafin Rahman¹

Aff.: ¹North South University, Dhaka, Bangladesh; ²Apurba Technologies, Sunnyvale, CA 94085, USA; ³Fordham University, New York, USA

Arxiv: http://arxiv.org/abs/2411.10878v1

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	Actual	Chunked
Min. input $(S^{j})$ context length	733	1005
Max. input $(S^{j})$ context length	32767	2000
Avg. input $(S^{j})$ context length	16890.22	1542.32
Min. labels $(y^{j})$ context length	104	104
Max. labels $(y^{j})$ context length	2492	2492
Avg. labels $(y^{j})$ context length	1446.45	1446.45
Total Instances	625	7447