Jinfeng Bai
Jinfeng Bai has 3 papers in our library, in 2023–2024, most of them on Language models & pretraining, Reasoning, Bias, fairness & safety; often with Hao Sun, Jie Tang, Ming Ding.
OpenAlex · ORCID · h-index 24 · 78 works · 1,938 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 110 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7795
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputational Theory and Mathematics · 2 worksMathematics · 1 workApplied Mathematics · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 3 worksReasoning · 2 worksBias, fairness & safety · 1 work
Works by year
2020s
Papers
- Unveiling the Implicit Toxicity in Large Language Models (2023 · 72 citations)
Most red-teaming work on large language models looks for overtly abusive outputs, which standard toxicity detectors catch easily. - GPT Can Solve Mathematical Problems Without a Calculator (2023 · 41 citations)
A common belief holds that LLMs cannot reliably do arithmetic without calling an external calculator, especially multiplying numbers longer than 8 digits or working with decimals and fractions. - MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning (2024 · 17 citations)
Open-source LLMs lag behind proprietary systems in mathematical reasoning. Prior work tackled this in one of two ways: generating large amounts of extra training data, or teaching models to call a Python interpreter. MuMath-Code combines both. The authors take questions created with the multi-perspective augmentation…
All works
- ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYuxiang Wei et al.2023 · 263 citations
- Unveiling the Implicit Toxicity in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaxin Wen, Pei Ke, Hao Sun, et al.2023 · 72 citations
- GPT Can Solve Mathematical Problems Without a CalculatorarXiv:2309.03241Zhen Yang, Ming Ding, Qingsong Lv, et al.2023 · 41 citations
- MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Shuo Yin, Weihao You, Zhilong Ji, et al.2024 · 17 citations
Co-authors here
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2024, EMNLP 2023
- IEEE/CVF International Conference on Computer Vision (ICCV)
Cited by
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