Yifan Song
Yifan Song has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining; often with Cheng Li, Damai Dai, Dawei Zhu.
OpenAlex · ORCID · Wikidata · h-index 20 · 106 works · 2,000 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 222 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4556
Affiliations
Concepts, shelves and topics
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works
Works by year
2020s
Papers
- Calibrating Factual Knowledge in Pretrained Language Models (2022 · 115 citations)
Pretrained language models (PLMs) are often treated as implicit knowledge bases, but many of the facts they hold are wrong. - RestGPT: Connecting Large Language Models with Real-World RESTful APIs (2023 · 108 citations)
Most tool-augmented LLMs work with a small set of custom-built tools and struggle with multi-step requests, so they fall short in realistic settings.
All works
- Calibrating Factual Knowledge in Pretrained Language ModelsFindings of the Association for Computational LinguisticsQingxiu Dong, Damai Dai, Yifan Song, et al.2022 · 115 citations
- RestGPT: Connecting Large Language Models with Real-World RESTful APIsarXiv:2306.06624Yifan Song, Weimin Xiong, Dawei Zhu, et al.2023 · 108 citations
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYifan Song et al.2024 · 52 citations
- MiMo-Audio: Audio Language Models are Few-Shot Learners ↗arXiv:2512.23808 · no summary yetXiaomi LLM-Core Team et al.2025 · 24 citations
Co-authors here
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2022
- Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Cited by
Updated
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