--- title: "Yushi Hu — papers" description: "Yushi Hu: 4 papers in the Elamur Research library (2022–2023) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/yushi-hu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yushi-hu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yushi Hu # Yushi Hu 4 papers on this site (2022–2023) [OpenAlex](https://openalex.org/A5069782842) · [ORCID](https://orcid.org/0000-0002-7540-2413) · h-index 17 · 55 works · 990 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [Fine-Grained Human Feedback Gives Better Rewards for Language Model Training](https://md.research.elamur.ai/free/en/papers/wu-2023-fine-grained-human-feedback-gives/) — Zeqiu Wu, Yushi Hu, Weijia Shi, et al. · 2023 - [Binding Language Models in Symbolic Languages](https://md.research.elamur.ai/free/en/papers/cheng-2022-binding-language-models-symbolic-languages/) — Zhoujun Cheng, Tianbao Xie, Peng Shi, et al. · 2022 - [In-Context Learning for Few-Shot Dialogue State Tracking](https://md.research.elamur.ai/free/en/papers/hu-2022-context-learning-few-shot-dialogue/) — Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, et al. · 2022 - [One Embedder, Any Task: Instruction-Finetuned Text Embeddings](https://md.research.elamur.ai/free/en/papers/su-2022-one-embedder-any-task-instruction/) — Hongjin Su, Weijia Shi, Jungo Kasai, et al. · 2022