Qiang Fu
Qiang Fu has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Reasoning; often with Bei Chen, Deheng Ye, Jian-Guang Lou.
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📄 2 works in our library · 🔗 Cited 216 times in our library · ⭐ Paper Stars ranking: #5531
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksLanguage and Linguistics · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksMathematics · 1 workComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work
Works by year
2020s
Papers
- Making Language Models Better Reasoners with Step-Aware Verifier (2023 · 217 citations)
Large language models still make mistakes on multi-step reasoning tasks such as arithmetic word problems, even with chain-of-thought prompting and self-consistency voting. - More Agents Is All You Need (2024 · 85 citations)
The paper asks whether LLM accuracy reliably improves when you run more copies of the same model and combine their outputs.
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