--- title: "Dante Everaert — author profile and papers — Elamur Research" description: "Dante Everaert, Amazon: 2 papers on Elamur Research (2025–2026), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/dante-everaert/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dante-everaert/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dante Everaert # Dante Everaert Dante Everaert has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Monica Xiao Cheng](https://md.research.elamur.ai/free/en/authors/monica-xiao-cheng/), [Shenglai Zeng](https://md.research.elamur.ai/free/en/authors/shenglai-zeng/), [Tianqi Zheng](https://md.research.elamur.ai/free/en/authors/tianqi-zheng/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5092231117) · [**h-index 2**](https://openalex.org/authors/A5092231117) · [10 works](https://openalex.org/works?filter=author.id:A5092231117) · [9 citations](https://openalex.org/works?filter=author.id:A5092231117&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/dante-everaert/#papers) · [🔗 Cited 13 times in our library](https://md.research.elamur.ai/free/en/authors/dante-everaert/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10761](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10761) 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=Dante+Everaert) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dante+Everaert) · [dblp](https://dblp.org/search?q=Dante+Everaert) · [ACL Anthology](https://aclanthology.org/search/?q=Dante+Everaert) ## Affiliations [🏢**Amazon** Seattle · United States 2023–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/amazon/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/dante-everaert/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/dante-everaert/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective](https://md.research.elamur.ai/free/en/papers/zeng-2025-knowledge-checking-retrieval-augmented-generation/)** *(2025 · 14 citations)* RAG systems often fail when the retrieved passages are misleading (for example, after PoisonedRAG-style injection of false answers) or only loosely related to the question. LLMs tend to trust such context over what they already know. The authors frame knowledge checking as four tasks: 2. **[Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2026-attn-gs-attention-guided-context/)** *(2026)* Personalizing LLMs usually means feeding them long user histories and profiles, which raises inference latency and API costs. ## All works 5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective](https://md.research.elamur.ai/free/en/papers/zeng-2025-knowledge-checking-retrieval-augmented-generation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Shenglai Zeng, Jiankun Zhang, Bingheng Li, et al.*2025 · 14 citations* 2. **[AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset ↗](https://aclanthology.org/2024.emnlp-industry.78/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yet**Dante Everaert et al.*2024 · 3 citations* 3. **[GIO: Gradient Information Optimization for Training Dataset Selection ↗](https://arxiv.org/abs/2306.11670) arXiv (Cornell University) · no summary yet**Dante Everaert, Christopher E. Potts*2023 · 3 citations* 4. **[Retrieval Augmented Spelling Correction for E-Commerce Applications ↗](https://aclanthology.org/2024.emnlp-industry.7/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yet**Xuan Guo et al.*2024 · 1 citation* 5. **[Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2026-attn-gs-attention-guided-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shenglai Zeng, Tianqi Zheng, Chuan Tian, et al.*2026* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Monica Xiao Cheng](https://md.research.elamur.ai/free/en/authors/monica-xiao-cheng/) ×2 - [Shenglai Zeng](https://md.research.elamur.ai/free/en/authors/shenglai-zeng/) ×2 - [Tianqi Zheng](https://md.research.elamur.ai/free/en/authors/tianqi-zheng/) ×2 - [Hanqing Lu](https://md.research.elamur.ai/free/en/authors/hanqing-lu/) - [Hui Liu](https://md.research.elamur.ai/free/en/authors/hui-liu/) - [Jiankun Zhang](https://md.research.elamur.ai/free/en/authors/jiankun-zhang/) - [Jiliang Tang](https://md.research.elamur.ai/free/en/authors/jiliang-tang/) - [Kai Guo](https://md.research.elamur.ai/free/en/authors/kai-guo/) - [Xinnan Dai](https://md.research.elamur.ai/free/en/authors/xinnan-dai/) - [Yue Xing](https://md.research.elamur.ai/free/en/authors/yue-xing/) - [Yuping Lin](https://md.research.elamur.ai/free/en/authors/yuping-lin/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track ×2 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/) ## Cited by Papers of our library cite their works 13 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dante-everaert/cited-by/). Updated 2 November 2026