--- title: "Lei Li — papers" description: "Lei Li: 13 papers in the Elamur Research library (2020–2026) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/lei-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lei-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lei Li # Lei Li 13 papers on this site (2020–2026) [OpenAlex](https://openalex.org/A5100440407) · [ORCID](https://orcid.org/0000-0003-3095-9776) · h-index 46 · 555 works · 11967 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [A Practical Evaluation Method for Long-Form Simultaneous Speech-to-Speech Translation](https://md.research.elamur.ai/free/en/papers/xue-2026-practical-evaluation-method-long-form/) — Yulin Xue, Siqi Ouyang, Lei Li · 2026 - [Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations](https://md.research.elamur.ai/free/en/papers/wang-2024-math-shepherd-verify-reinforce-llms/) — Peiyi Wang, Lei Li, Zhihong Shao, et al. · 2024 - [Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis](https://md.research.elamur.ai/free/en/papers/zhu-2024-multilingual-machine-translation-large-language/) — Wenhao Zhu, Hongyi Liu, Qingxiu Dong, et al. · 2024 - [Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-multimodal-arxiv-dataset-improving-scientific/) — Lei Li, Yuqi Wang, Runxin Xu, et al. · 2024 - [Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models](https://md.research.elamur.ai/free/en/papers/gao-2024-omni-math-universal-olympiad-level/) — Bofei Gao, Feifan Song, Zhe Yang, et al. · 2024 - [Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis](https://md.research.elamur.ai/free/en/papers/fu-2024-video-mme-first-ever-comprehensive/) — Chaoyou Fu, Yuhan Dai, Yongdong Luo, et al. · 2024 - [A Survey on In-context Learning](https://md.research.elamur.ai/free/en/papers/dong-2023-survey-context-learning/) — Qingxiu Dong, Lei Li, Damai Dai, et al. · 2023 - [INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback](https://md.research.elamur.ai/free/en/papers/xu-2023-instructscore-explainable-text-generation-evaluation/) — Wenda Xu, Danqing Wang, Liangming Pan, et al. · 2023 - [Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning](https://md.research.elamur.ai/free/en/papers/wang-2023-label-words-anchors-information-flow/) — Lean Wang, Lei Li, Damai Dai, et al. · 2023 - [Contrastive Learning for Many-to-many Multilingual Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/pan-2021-contrastive-learning-many-many-multilingual/) — Xiao Pan, Mingxuan Wang, Liwei Wu, et al. · 2021 - [Glancing Transformer for Non-Autoregressive Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/qian-2021-glancing-transformer-non-autoregressive-neural/) — Lihua Qian, Hao Zhou, Yu Bao, et al. · 2021 - [On the Sentence Embeddings from Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/li-2020-sentence-embeddings-pre-trained-language/) — Bohan Li, Hao Zhou, Junxian He, et al. · 2020 - [Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information](https://md.research.elamur.ai/free/en/papers/lin-2020-pre-training-multilingual-neural-machine/) — Zehui Lin, Xiao Pan, Mingxuan Wang, et al. · 2020