--- title: "Sadhika Malladi — author profile and papers — Elamur Research" description: "Sadhika Malladi, University of California San Diego: 3 papers on Elamur Research (2023–2024), h-index 7 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/sadhika-malladi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sadhika-malladi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sadhika Malladi # Sadhika Malladi Sadhika Malladi has 3 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Sanjeev Arora](https://md.research.elamur.ai/free/en/authors/sanjeev-arora/), [Danqi Chen](https://md.research.elamur.ai/free/en/authors/danqi-chen/), [Mengzhou Xia](https://md.research.elamur.ai/free/en/authors/mengzhou-xia/). 3 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5077971483) · [**h-index 7**](https://openalex.org/authors/A5077971483) · [23 works](https://openalex.org/works?filter=author.id:A5077971483) · [207 citations](https://openalex.org/works?filter=author.id:A5077971483&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/sadhika-malladi/#papers) · [🔗 Cited 470 times in our library](https://md.research.elamur.ai/free/en/authors/sadhika-malladi/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4513](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4513) 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=Sadhika+Malladi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sadhika+Malladi) · [dblp](https://dblp.org/search?q=Sadhika+Malladi) · [ACL Anthology](https://aclanthology.org/search/?q=Sadhika+Malladi) ## Affiliations [🎓**University of California San Diego** San Diego · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🎓**Princeton University** Princeton · United States 2020–2025 · 12 papers](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2017–2018 · 2 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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 · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/sadhika-malladi/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/sadhika-malladi/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[LESS: Selecting Influential Data for Targeted Instruction Tuning](https://md.research.elamur.ai/free/en/papers/xia-2024-less-selecting-influential-data-targeted/)** *(2024 · 178 citations)* Instruction tuning usually merges many heterogeneous datasets, but real deployments often need only a narrow set of skills. 2. **[Fine-Tuning Language Models with Just Forward Passes](https://md.research.elamur.ai/free/en/papers/malladi-2023-fine-tuning-language-models-just/)** *(2023 · 153 citations)* Fine-tuning large language models with backpropagation is memory-hungry. Activations, gradients and Adam's optimizer state can need roughly an order of magnitude more GPU memory than inference alone. The authors revisit zeroth-order optimization, which estimates gradients from loss differences rather than backward… 3. **[CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/wang-2024-charxiv-charting-gaps-realistic-chart/)** *(2024 · 119 citations)* Benchmarks commonly used to evaluate chart understanding in multimodal LLMs, such as FigureQA, DVQA and ChartQA, rely on synthetic or visually uniform charts and on template-generated questions. ## All works 9 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. [**LESS: Selecting Influential Data for Targeted Instruction Tuning arXiv:2402.04333**Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.*2024 · 178 citations*](https://md.research.elamur.ai/free/en/papers/xia-2024-less-selecting-influential-data-targeted/) 2. **[Fine-Tuning Language Models with Just Forward Passes](https://md.research.elamur.ai/free/en/papers/malladi-2023-fine-tuning-language-models-just/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Sadhika Malladi, Tianyu Gao, Eshaan Nichani, et al.*2023 · 153 citations* 3. **[CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/wang-2024-charxiv-charting-gaps-realistic-chart/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zirui Wang, Mengzhou Xia, Luxi He, et al.*2024 · 119 citations* 4. **[MUSE: Machine Unlearning Six-Way Evaluation for Language Models ↗](https://arxiv.org/abs/2407.06460) arXiv (Cornell University) · no summary yet**Weijia Shi et al.*2024 · 65 citations* 5. **[Preference Learning Algorithms Do Not Learn Preference Rankings ↗](https://doi.org/10.52202/079017-3234) neural information processing systems · no summary yet**Angelica Chen et al.*2024 · 26 citations* 6. **[A Kernel-Based View of Language Model Fine-Tuning ↗](https://arxiv.org/abs/2210.05643) arXiv (Cornell University) · no summary yet**Sadhika Malladi et al.*2022 · 22 citations* 7. **[Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization ↗](https://arxiv.org/abs/2410.08847) arXiv (Cornell University) · no summary yet**Noam Razin et al.*2024 · 14 citations* 8. **[Metadata Conditioning Accelerates Language Model Pre-training ↗](https://doi.org/10.32388/d226qh) Qeios · no summary yet**Tianyu Gao et al.*2025 · 9 citations* 9. **[Overtrained Language Models Are Harder to Fine-Tune ↗](https://arxiv.org/abs/2503.19206) arXiv (Cornell University) · no summary yet**Jacob M. Springer et al.*2025 · 8 citations* ## Co-authors here 12 co-authors with a page, the most papers together first. - [Sanjeev Arora](https://md.research.elamur.ai/free/en/authors/sanjeev-arora/) ×3 - [Danqi Chen](https://md.research.elamur.ai/free/en/authors/danqi-chen/) ×2 - [Mengzhou Xia](https://md.research.elamur.ai/free/en/authors/mengzhou-xia/) ×2 - [Alexis Chevalier](https://md.research.elamur.ai/free/en/authors/alexis-chevalier/) - [Haotian Liu](https://md.research.elamur.ai/free/en/authors/haotian-liu/) - [Howard Chen](https://md.research.elamur.ai/free/en/authors/howard-chen/) - [Jason D. Lee](https://md.research.elamur.ai/free/en/authors/jason-d-lee/) - [Luxi He](https://md.research.elamur.ai/free/en/authors/luxi-he/) - [Suchin Gururangan](https://md.research.elamur.ai/free/en/authors/suchin-gururangan/) - [Tianyu Gao](https://md.research.elamur.ai/free/en/authors/tianyu-gao/) - [Yitao Liu](https://md.research.elamur.ai/free/en/authors/yitao-liu/) - [Zirui Wang](https://md.research.elamur.ai/free/en/authors/zirui-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) ×2: [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/), [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) - Qeios - neural information processing systems ## Cited by Papers of our library cite their works 470 times (of the 149,439 papers whose bibliographies we read); [110 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sadhika-malladi/cited-by/). Updated 2 November 2026