Qihan Wang — accepted AI-conference papers

2025

Multilingual Prompting for Improving LLM Generation Diversity

Qihan Wang, Shidong Pan, Tal Linzen, Emily Black

EMNLP 2025

Large Language Models (LLMs) are known to lack cultural representation and overall diversity in their generations, from expressing opinions to answering factual questions. To mitigate this problem, we propose multilingual prompting: a prompting method which generates several variations of a base pro

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2023

LOFT: Finding Lottery Tickets through Filter-wise Training

Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis

AISTATS 2023poster

Recent work on the Lottery Ticket Hypothesis (LTH) shows that there exist “winning tickets” in large neural networks. These tickets represent “sparse” versions of the full model that can be trained independently to achieve comparable accuracy with respect to the full model. However, finding the winn…

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