--- title: "Bhavya Kailkhura — author profile and papers in our library" description: "Bhavya Kailkhura, Lawrence Livermore National Laboratory: 2 papers on Elamur Research (2024), h-index 28 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/bhavya-kailkhura/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bhavya-kailkhura/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Bhavya Kailkhura # Bhavya Kailkhura Bhavya Kailkhura has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Arpit Bansal](https://md.research.elamur.ai/free/en/authors/arpit-bansal/), [Avi Schwarzschild](https://md.research.elamur.ai/free/en/authors/avi-schwarzschild/), [Jinghan Jia](https://md.research.elamur.ai/free/en/authors/jinghan-jia/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5041470575) · [ORCID](https://orcid.org/0000-0002-2819-2919) · [Wikidata](https://www.wikidata.org/wiki/Q102649578) · [**h-index 28**](https://openalex.org/authors/A5041470575) · [199 works](https://openalex.org/works?filter=author.id:A5041470575) · [3,354 citations](https://openalex.org/works?filter=author.id:A5041470575&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/bhavya-kailkhura/#papers) · [🔗 Cited 356 times in our library](https://md.research.elamur.ai/free/en/authors/bhavya-kailkhura/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8823](https://md.research.elamur.ai/free/en/paper-stars/page/89/#star-8823) 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=Bhavya+Kailkhura) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bhavya+Kailkhura) · [dblp](https://dblp.org/search?q=Bhavya+Kailkhura) · [ACL Anthology](https://aclanthology.org/search/?q=Bhavya+Kailkhura) ## Affiliations [🔬**Lawrence Livermore National Laboratory** Livermore · United States 2016–2026 · 132 papersEmployment*current*](https://md.research.elamur.ai/free/en/labs/lawrence-livermore-national-laboratory/) · [🎓**Syracuse University** Syracuse · United States 2013–2022 · 28 papersEducation](https://md.research.elamur.ai/free/en/universities/syracuse-university/) · [🎓**Michigan State University** East Lansing · United States 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/michigan-state-university/) · [🎓**ETH Zurich** Zurich · Switzerland 2020 · 2 papers](https://md.research.elamur.ai/free/en/universities/eth-zurich/) 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/bhavya-kailkhura/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning](https://md.research.elamur.ai/free/en/papers/jia-2024-soul-unlocking-power-second-order/)** *(2024 · 46 citations)* The paper addresses LLM unlearning: removing the effect of unwanted data, such as private, copyrighted or toxic content, without full retraining and without harming general utility. 2. **[Transformers Can Do Arithmetic with the Right Embeddings](https://md.research.elamur.ai/free/en/papers/mcleish-2024-transformers-arithmetic-right-embeddings/)** *(2024 · 36 citations)* Transformers often fail at multi-digit arithmetic. The authors argue the main cause is that the model cannot reliably tell where each digit sits inside a long number. They propose Abacus Embeddings , learned positional embeddings that index every digit by its offset from the start of its number, so digits of equal… ## All works 9 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. **[Anomalous Example Detection in Deep Learning: A Survey ↗](https://doi.org/10.1109/access.2020.3010274) IEEE Access · no summary yet**Saikiran Bulusu et al.*2020 · 193 citations* 2. **[SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning](https://md.research.elamur.ai/free/en/papers/jia-2024-soul-unlocking-power-second-order/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jinghan Jia, Yihua Zhang, Yimeng Zhang, et al.*2024 · 46 citations* 3. **[Transformers Can Do Arithmetic with the Right Embeddings](https://md.research.elamur.ai/free/en/papers/mcleish-2024-transformers-arithmetic-right-embeddings/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Sean McLeish, Arpit Bansal, Alex Stein, et al.*2024 · 36 citations* 4. **[Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification? ↗](https://doi.org/10.1109/cvpr46437.2021.00814) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ruoxi Jia et al.*2019 · 33 citations* 5. **[GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations ↗](https://arxiv.org/abs/2402.12348) arXiv (Cornell University) · no summary yet**Jinhao Duan et al.*2024 · 27 citations* 6. **[Anomalous Instance Detection in Deep Learning: A Survey. ↗](http://dblp.uni-trier.de/db/journals/corr/corr2003.html#abs-2003-06979) arXiv (Cornell University) · no summary yet**Saikiran Bulusu et al.*2020 · 27 citations* 7. **[GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations ↗](https://doi.org/10.52202/079017-0885) neural information processing systems · no summary yet**Jinhao Duan et al.*2024 · 23 citations* 8. **[Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression ↗](https://arxiv.org/abs/2403.15447) arXiv (Cornell University) · no summary yet**Junyuan Hong et al.*2024 · 23 citations* 9. **[The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text ↗](https://doi.org/10.52202/085713-1918) neural information processing systems · no summary yet**Nikhil Kandpal et al.*2025 · 21 citations* ## Co-authors here 10 co-authors with a page, the most papers together first. - [Arpit Bansal](https://md.research.elamur.ai/free/en/authors/arpit-bansal/) - [Avi Schwarzschild](https://md.research.elamur.ai/free/en/authors/avi-schwarzschild/) - [Jinghan Jia](https://md.research.elamur.ai/free/en/authors/jinghan-jia/) - [John Kirchenbauer](https://md.research.elamur.ai/free/en/authors/john-kirchenbauer/) - [Jonas Geiping](https://md.research.elamur.ai/free/en/authors/jonas-geiping/) - [Neel Jain](https://md.research.elamur.ai/free/en/authors/neel-jain/) - [Sijia Liu](https://md.research.elamur.ai/free/en/authors/sijia-liu/) - [Tom Goldstein](https://md.research.elamur.ai/free/en/authors/tom-goldstein/) - [Yihua Zhang](https://md.research.elamur.ai/free/en/authors/yihua-zhang/) - [Yimeng Zhang](https://md.research.elamur.ai/free/en/authors/yimeng-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - neural information processing systems ×2 - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) - [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/) - IEEE Access - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ## Cited by Papers of our library cite their works 356 times (of the 149,439 papers whose bibliographies we read); [87 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/bhavya-kailkhura/cited-by/). Updated 3 November 2026