What is the best model? Application-driven Evaluation for Large Language
Models

What is the best model? Application-driven Evaluation for Large Language Models

14 June 2024

Shiguo Lian

Kai Wang

Papers citing "What is the best model? Application-driven Evaluation for Large Language Models"

5 / 5 papers shown

Title
Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis Kaikai Zhao Zhaoxiang Liu Xuejiao Lei Ning Wang Zhenhong Long ... W. Liu Kai Wang Wen Liu Kai Wang Shiguo Lian ELM LRM 52 1 0 16 Feb 2025
Methodology of Adapting Large English Language Models for Specific Cultural Contexts Wenjing Zhang Siqi Xiao Xuejiao Lei Ning Wang Huazheng Zhang Meijuan An Bikun Yang Zhaoxiang Liu Kai Wang Shiguo Lian ALM 19 0 0 26 Jun 2024
OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety Chuang Liu Linhao Yu Jiaxuan Li Renren Jin Yufei Huang ... Tao Liu Jinwang Song Hongying Zan Sun Li Deyi Xiong ELM 22 6 0 18 Mar 2024
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 4,424 0 23 Jan 2020