Can Large Language Models Always Solve Easy Problems if They Can Solve
Harder Ones?

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?

18 June 2024

Tianyu Liu

Jian Yang

Chang Zhou

Zhifang Sui

Papers citing "Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?"

5 / 5 papers shown

Title
Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina Yuan Gao Dokyun Lee Gordon Burtch Sina Fazelpour LRM 36 7 0 25 Oct 2024
MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark Hongwei Liu Zilong Zheng Yuxuan Qiao Haodong Duan Zhiwei Fei Fengzhe Zhou Wenwei Zhang Songyang Zhang Dahua Lin Kai-xiang Chen 36 6 0 20 May 2024
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning Zhe Yang Damai Dai Peiyi Wang Zhifang Sui 23 3 0 12 Oct 2023
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 102 349 0 04 Oct 2021
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 252 273 0 01 Feb 2021