--- title: "Bernal Jimenez Gutierrez — author profile and papers in our library" description: "Bernal Jimenez Gutierrez, Johns Hopkins University: 3 papers on Elamur Research (2022–2024), h-index 4 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/bernal-jimenez-gutierrez/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bernal-jimenez-gutierrez/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Bernal Jimenez Gutierrez # Bernal Jimenez Gutierrez Bernal Jimenez Gutierrez has 3 papers in our library, in 2022–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Yu Su](https://md.research.elamur.ai/free/en/authors/yu-su/), [Clayton Washington](https://md.research.elamur.ai/free/en/authors/clayton-washington/), [Huan Sun](https://md.research.elamur.ai/free/en/authors/huan-sun/). 3 papers in our library · 2022–2024 [OpenAlex](https://openalex.org/A5056452649) · [**h-index 4**](https://openalex.org/authors/A5056452649) · [15 works](https://openalex.org/works?filter=author.id:A5056452649) · [254 citations](https://openalex.org/works?filter=author.id:A5056452649&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/bernal-jimenez-gutierrez/#papers) · [🔗 Cited 332 times in our library](https://md.research.elamur.ai/free/en/authors/bernal-jimenez-gutierrez/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3168](https://md.research.elamur.ai/free/en/paper-stars/page/32/#star-3168) 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=Bernal+Jimenez+Gutierrez) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bernal+Jimenez+Gutierrez) · [dblp](https://dblp.org/search?q=Bernal+Jimenez+Gutierrez) · [ACL Anthology](https://aclanthology.org/search/?q=Bernal+Jimenez+Gutierrez) ## Affiliations [🎓**The Ohio State University** Columbus · United States 2020–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/the-ohio-state-university/) · [🎓**Johns Hopkins University** Baltimore · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) 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 9 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/) · [Cognitive Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Computer Vision and Pattern Recognition · 1 work](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 [**2024** 1 paper Bernal Jimenez Gutierrez's papers of 2024](https://md.research.elamur.ai/free/en/papers/gutierrez-2024-hipporag-neurobiologically-inspired-long-term/) · [**2023** 1 paper Bernal Jimenez Gutierrez's papers of 2023](https://md.research.elamur.ai/free/en/papers/zhang-2023-aligning-instruction-tasks-unlocks-large/) · [**2022** 1 paper Bernal Jimenez Gutierrez's papers of 2022](https://md.research.elamur.ai/free/en/papers/gutierrez-2022-thinking-about-gpt-3-context/) ## Papers The most cited first (OpenAlex and our library). 1. **[HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models](https://md.research.elamur.ai/free/en/papers/gutierrez-2024-hipporag-neurobiologically-inspired-long-term/)** *(2024 · 264 citations)* Standard retrieval-augmented generation (RAG) encodes each passage on its own. This makes it hard for LLMs to answer questions that require connecting facts scattered across several documents. HippoRAG addresses this with a design based on the hippocampal memory indexing theory. An instruction-tuned LLM plays the… 2. **[Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again](https://md.research.elamur.ai/free/en/papers/gutierrez-2022-thinking-about-gpt-3-context/)** *(2022 · 179 citations)* Annotating biomedical text for information extraction is expensive, so GPT-3's ability to learn from a few prompt examples looks attractive. 3. **[Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors](https://md.research.elamur.ai/free/en/papers/zhang-2023-aligning-instruction-tasks-unlocks-large/)** *(2023 · 118 citations)* Instruction-tuned LLMs perform well on many NLP tasks without examples, yet they still lose to compact models on relation extraction (RE), the task of naming how two entities in a sentence are connected. ## All works 4 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. **[HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models](https://md.research.elamur.ai/free/en/papers/gutierrez-2024-hipporag-neurobiologically-inspired-long-term/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.*2024 · 264 citations* 2. **[Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again](https://md.research.elamur.ai/free/en/papers/gutierrez-2022-thinking-about-gpt-3-context/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington, et al.*2022 · 179 citations* 3. **[Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors](https://md.research.elamur.ai/free/en/papers/zhang-2023-aligning-instruction-tasks-unlocks-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kai Zhang, Bernal Jimenez Gutierrez, Yu Su*2023 · 118 citations* 4. **[From RAG to Memory: Non-Parametric Continual Learning for Large Language Models ↗](https://arxiv.org/abs/2502.14802) arXiv:2502.14802 · no summary yet**Bernal Jimenez Gutierrez et al.*2025 · 88 citations* ## Co-authors here 6 co-authors with a page, the most papers together first. - [Yu Su](https://md.research.elamur.ai/free/en/authors/yu-su/) ×3 - [Clayton Washington](https://md.research.elamur.ai/free/en/authors/clayton-washington/) - [Huan Sun](https://md.research.elamur.ai/free/en/authors/huan-sun/) - [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/) - [Michihiro Yasunaga](https://md.research.elamur.ai/free/en/authors/michihiro-yasunaga/) - [Yu Gu](https://md.research.elamur.ai/free/en/authors/yu-gu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/), [Findings of the Association for Computational Linguistics 2022](https://md.research.elamur.ai/free/en/venues/findings/2022/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 332 times (of the 141,840 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/bernal-jimenez-gutierrez/cited-by/). Updated 24 October 2026