Qianyu He
Qianyu He
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Conference Paper
Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models
It is crucial for large language models (LLMs) to follow instructions that involve multiple constraints. However, it is an unexplored …
Qingyu Ren
,
Jie Zeng
,
Qianyu He
,
Jiaqing Liang
,
Yanghua Xiao
,
Weikang Zhou
,
Zeye Sun
,
Fei Yu
PDF
Code
From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
It is imperative for Large language models (LLMs) to follow instructions with elaborate requirements (i.e. Complex Instructions …
Qianyu He
,
Jie Zeng
,
Qianxi He
,
Jiaqing Liang
,
Yanghua Xiao
PDF
Code
Can Large Language Models Understand Real-World Complex Instructions?
Large language models (LLMs) can understand human instructions, showing their potential for pragmatic applications beyond traditional …
Qianyu He
,
Jie Zeng
,
Wenhao Huang
,
Lina Chen
,
Jin Xiao
,
Qianxi He
,
Xunzhe Zhou
,
Lida Chen
,
Xintao Wang
,
Yuncheng Huang
,
Haoning Ye
,
Zihan Li
,
Shisong Chen
,
Yikai Zhang
,
Zhouhong Gu
,
Jiaqing Liang
,
Yanghua Xiao
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