--- title: "Chirag Agarwal · Harvard University — author profile and papers" description: "Chirag Agarwal, Harvard University: 4 papers on Elamur Research (2023–2026), h-index 16 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/chirag-agarwal/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chirag-agarwal/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chirag Agarwal # Chirag Agarwal Chirag Agarwal has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Akash Ghosh](https://md.research.elamur.ai/free/en/authors/akash-ghosh/), [Aounon Kumar](https://md.research.elamur.ai/free/en/authors/aounon-kumar/), [Himabindu Lakkaraju](https://md.research.elamur.ai/free/en/authors/himabindu-lakkaraju/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5048724032) · [ORCID](https://orcid.org/0000-0002-6354-7260) · [Wikidata](https://www.wikidata.org/wiki/Q95600665) · [**h-index 16**](https://openalex.org/authors/A5048724032) · [91 works](https://openalex.org/works?filter=author.id:A5048724032) · [938 citations](https://openalex.org/works?filter=author.id:A5048724032&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/chirag-agarwal/#papers) · [🔗 Cited 94 times in our library](https://md.research.elamur.ai/free/en/authors/chirag-agarwal/cited-by/) · [⭐ Paper Stars ranking: #6559](https://md.research.elamur.ai/free/en/paper-stars/page/66/#star-6559) 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=Chirag+Agarwal) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chirag+Agarwal) · [dblp](https://dblp.org/search?q=Chirag+Agarwal) · [ACL Anthology](https://aclanthology.org/search/?q=Chirag+Agarwal) ## Affiliations [🎓**University of Virginia** Charlottesville · United States 2024–2026 · 23 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-virginia/) · [🎓**Harvard University** Cambridge · United States 2020–2026 · 22 papers*current*](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🎓**University of Illinois Chicago** Chicago · United States 2017–2020 · 16 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-chicago/) · [🏢**Adobe Systems** San Jose · United States 2022–2023 · 4 papers](https://md.research.elamur.ai/free/en/companies/adobe-systems/) · [🏥**Geisinger Health System** Danville · United States 2017–2018 · 4 papers](https://ror.org/02qdbgx97) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/chirag-agarwal/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/chirag-agarwal/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Certifying LLM Safety against Adversarial Prompting](https://md.research.elamur.ai/free/en/papers/kumar-2023-certifying-llm-safety-against-adversarial/)** *(2023 · 113 citations)* Safety-aligned LLMs can still be jailbroken when an attacker attaches crafted adversarial tokens to a harmful request. 2. **[CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning](https://md.research.elamur.ai/free/en/papers/onyame-2026-cure-med-curriculum-informed-reinforcement/)** *(2026 · 5 citations)* Large language models handle math and commonsense reasoning reasonably well in English, but they often fail at medical reasoning in other languages. 3. **[A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language Models](https://md.research.elamur.ai/free/en/papers/petkar-2026-graph-talks-but-who-s/)** *(2026 · 1 citation)* Graph-Language Models (GLMs) pair a GNN encoder with an LLM. This paper asks whether the benchmarks used to evaluate them actually test joint reasoning over graph structure and text. The authors re-run standard evaluations on node classification and link prediction, in both supervised and zero-shot settings. They… 4. **[Towards Understanding the Robustness of Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/saiyed-2026-understanding-robustness-sparse-autoencoders/)** *(2026)* Jailbreak attacks that optimize adversarial suffixes against an LLM's internals remain a serious threat. It is also unclear how Sparse Autoencoders (SAEs), normally used for interpretability, affect this vulnerability. The authors splice pretrained SAEs into the residual stream of one intermediate layer at inference… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Akash Ghosh](https://md.research.elamur.ai/free/en/authors/akash-ghosh/) - [Aounon Kumar](https://md.research.elamur.ai/free/en/authors/aounon-kumar/) - [Himabindu Lakkaraju](https://md.research.elamur.ai/free/en/authors/himabindu-lakkaraju/) - [Ponnurangam Kumaraguru](https://md.research.elamur.ai/free/en/authors/ponnurangam-kumaraguru/) - [Soheil Feizi](https://md.research.elamur.ai/free/en/authors/soheil-feizi/) - [Sriparna Saha](https://md.research.elamur.ai/free/en/authors/sriparna-saha/) - [Xiuying Chen](https://md.research.elamur.ai/free/en/authors/xiuying-chen/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×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/) ## Cited by Papers of our library cite their works 94 times (of the 149,439 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chirag-agarwal/cited-by/). Updated 1 November 2026