--- title: "Qing Gu · Nanjing University — author profile and papers" description: "Qing Gu, Nanjing University: 3 papers on Elamur Research (2025), h-index 22 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/qing-gu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qing-gu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qing Gu # Qing Gu Qing Gu has 3 papers in our library, in 2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Zhiwei Jiang](https://md.research.elamur.ai/free/en/authors/zhiwei-jiang/), [Yafeng Yin](https://md.research.elamur.ai/free/en/authors/yafeng-yin/), [Yuchen Fu](https://md.research.elamur.ai/free/en/authors/yuchen-fu/). 3 papers in our library · 2025 [OpenAlex](https://openalex.org/A5061025205) · [ORCID](https://orcid.org/0000-0002-1112-790X) · [**h-index 22**](https://openalex.org/authors/A5061025205) · [88 works](https://openalex.org/works?filter=author.id:A5061025205) · [1,815 citations](https://openalex.org/works?filter=author.id:A5061025205&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/qing-gu/#papers) · [🔗 Cited 40 times in our library](https://md.research.elamur.ai/free/en/authors/qing-gu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8306](https://md.research.elamur.ai/free/en/paper-stars/page/84/#star-8306) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Qing+Gu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qing+Gu) · [dblp](https://dblp.org/search?q=Qing+Gu) · [ACL Anthology](https://aclanthology.org/search/?q=Qing+Gu) ## Affiliations [🎓**Nanjing University** Nanjing · China 2000–2026 · 86 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🔬**State Key Laboratory of New Technology of Computer Software** Nanjing · China 2009–2020 · 5 papers](https://ror.org/04xqp3a64) · [🎓**University of Aizu** Fukushima · Japan 2009–2010 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-aizu/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/qing-gu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models](https://md.research.elamur.ai/free/en/papers/hu-2025-longrecipe-recipe-efficient-long-context/)** *(2025 · 16 citations)* Large language models handle inputs poorly once these exceed the context length seen during pretraining. Continuing training on full-length sequences fixes this but is expensive, since attention cost grows quadratically with length. LongRecipe is a training framework that extends the context window without training… 2. **[Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs](https://md.research.elamur.ai/free/en/papers/fu-2025-token-prepending-training-free-approach/)** *(2025 · 10 citations)* Decoder-only LLMs rely on causal attention. When sentence embeddings are extracted from them without fine-tuning, tokens near the start of the input cannot see later tokens. Prompt-based methods such as PromptEOL read the embedding from the final prompt token, but that token still inherits the skewed representations… 3. **[Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering](https://md.research.elamur.ai/free/en/papers/cheng-2025-contrastive-prompting-enhances-sentence-embeddings/)** *(2025 · 8 citations)* Large language models can produce sentence embeddings without any training data or fine-tuning: a prompt wraps the sentence, and the hidden state of the final token serves as the vector. ## All works 5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[A Unified Target-Oriented Sequence-to-Sequence Model for Emotion-Cause Pair Extraction ↗](https://doi.org/10.1109/taslp.2021.3102194) IEEE/ACM Transactions on Audio Speech and Language Processing · no summary yet**Zifeng Cheng et al.*2021 · 70 citations* 2. **[LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models](https://md.research.elamur.ai/free/en/papers/hu-2025-longrecipe-recipe-efficient-long-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyuan Hu, Yuliang Liu, Jinman Zhao, et al.*2025 · 16 citations* 3. **[Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs](https://md.research.elamur.ai/free/en/papers/fu-2025-token-prepending-training-free-approach/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuchen Fu, Zifeng Cheng, Zhiwei Jiang, et al.*2025 · 10 citations* 4. **[Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering](https://md.research.elamur.ai/free/en/papers/cheng-2025-contrastive-prompting-enhances-sentence-embeddings/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zifeng Cheng, Zhonghui Wang, Yuchen Fu, et al.*2025 · 8 citations* 5. **[AEA: Adaptive Expert Allocation Improves Sentence Embeddings from Mixture-of-Experts LLM ↗](https://aclanthology.org/2026.acl-long.1331/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shufan Yang et al.*2026* ## Co-authors here 12 co-authors with a page, the most papers together first. - [Zhiwei Jiang](https://md.research.elamur.ai/free/en/authors/zhiwei-jiang/) ×3 - [Yafeng Yin](https://md.research.elamur.ai/free/en/authors/yafeng-yin/) ×2 - [Yuchen Fu](https://md.research.elamur.ai/free/en/authors/yuchen-fu/) ×2 - [Zhonghui Wang](https://md.research.elamur.ai/free/en/authors/zhonghui-wang/) ×2 - [Zifeng Cheng](https://md.research.elamur.ai/free/en/authors/zifeng-cheng/) ×2 - [Anh Tuan Luu](https://md.research.elamur.ai/free/en/authors/anh-tuan-luu/) - [Bryan Hooi](https://md.research.elamur.ai/free/en/authors/bryan-hooi/) - [Jinman Zhao](https://md.research.elamur.ai/free/en/authors/jinman-zhao/) - [See-Kiong Ng](https://md.research.elamur.ai/free/en/authors/see-kiong-ng/) - [Wei Shen](https://md.research.elamur.ai/free/en/authors/wei-shen/) - [Yan Wang](https://md.research.elamur.ai/free/en/authors/yan-wang/) - [Yuliang Liu](https://md.research.elamur.ai/free/en/authors/yuliang-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×4: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×3 - IEEE/ACM Transactions on Audio Speech and Language Processing ## Cited by Papers of our library cite their works 40 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qing-gu/cited-by/). Updated 30 October 2026