--- title: "Weijia Shi — papers" description: "Weijia Shi: 7 papers in the Elamur Research library (2022–2025) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/weijia-shi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/weijia-shi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Weijia Shi # Weijia Shi 7 papers on this site (2022–2025) [OpenAlex](https://openalex.org/A5103238719) · [ORCID](https://orcid.org/0000-0002-3379-0331) · h-index 15 · 58 works · 934 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [s1: Simple test-time scaling](https://md.research.elamur.ai/free/en/papers/muennighoff-2025-s1-simple-test-time-scaling/) — Niklas Muennighoff, Zitong Yang, Weijia Shi, et al. · 2025 - [Trusting Your Evidence: Hallucinate Less with Context-aware Decoding](https://md.research.elamur.ai/free/en/papers/shi-2024-trusting-your-evidence-hallucinate-less/) — Weijia Shi, Xiaochuang Han, Mike Lewis, et al. · 2024 - [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 - [RA-DIT: Retrieval-Augmented Dual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/lin-2023-ra-dit-retrieval-augmented-dual/) — Xi Victoria Lin, Xilun Chen, Mingda Chen, et al. · 2023 - [RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation](https://md.research.elamur.ai/free/en/papers/xu-2023-recomp-improving-retrieval-augmented-lms/) — Fangyuan Xu, Weijia Shi, Eunsol Choi · 2023 - [REPLUG: Retrieval-Augmented Black-Box Language Models](https://md.research.elamur.ai/free/en/papers/shi-2023-replug-retrieval-augmented-black-box/) — Weijia Shi, Sewon Min, Michihiro Yasunaga, et al. · 2023 - [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