--- title: "Kavitha Srinivas — author profile and papers in our library" description: "Kavitha Srinivas, IBM: 2 papers on Elamur Research (2023–2026), h-index 30 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/kavitha-srinivas/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kavitha-srinivas/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kavitha Srinivas # Kavitha Srinivas Kavitha Srinivas has 2 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/); often with [Michael Katz](https://md.research.elamur.ai/free/en/authors/michael-katz/), [Joshua B. Tenenbaum](https://md.research.elamur.ai/free/en/authors/joshua-b-tenenbaum/), [Julian Dolby](https://md.research.elamur.ai/free/en/authors/julian-dolby/). 2 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5085594669) · [ORCID](https://orcid.org/0000-0003-4610-967X) · [Wikidata](https://www.wikidata.org/wiki/Q130956894) · [**h-index 30**](https://openalex.org/authors/A5085594669) · [162 works](https://openalex.org/works?filter=author.id:A5085594669) · [3,078 citations](https://openalex.org/works?filter=author.id:A5085594669&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kavitha-srinivas/#papers) · [🔗 Cited 36 times in our library](https://md.research.elamur.ai/free/en/authors/kavitha-srinivas/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8129](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8129) 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=Kavitha+Srinivas) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kavitha+Srinivas) · [dblp](https://dblp.org/search?q=Kavitha+Srinivas) · [ACL Anthology](https://aclanthology.org/search/?q=Kavitha+Srinivas) ## Affiliations [🏢**IBM** Armonk · United States 2004–2026 · 73 papers*current*](https://md.research.elamur.ai/free/en/companies/ibm/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 2004–2026 · 42 papers*current*](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/) · [🎓**Texas A&M University** College Station · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/texas-a-m-university/) · [🎓**University of Oregon** Eugene · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-oregon/) · [🎓**Boston College** Boston · United States 1992–2001 · 14 papers](https://md.research.elamur.ai/free/en/universities/boston-college/) · [🎓**Rice University** Houston · United States 1990 · 2 papers](https://md.research.elamur.ai/free/en/universities/rice-university/) 🏛️**IBM Research** Yorktown Heights · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) Employment 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 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 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/kavitha-srinivas/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/kavitha-srinivas/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Generalized Planning in PDDL Domains with Pretrained Large Language Models](https://md.research.elamur.ai/free/en/papers/silver-2023-generalized-planning-pddl-domains-pretrained/)** *(2023 · 112 citations)* The paper asks whether a pretrained LLM can be a generalized planner rather than a per-task planner. Given a PDDL domain and a few training tasks, the model should produce a program that quickly outputs valid plans for new, usually much larger tasks in that domain. GPT-4 receives the domain and two abbreviated… 2. **[Generalization in Graph Reasoning: A Systematic Comparison of LLM Training Approaches](https://md.research.elamur.ai/free/en/papers/shirai-2026-generalization-graph-reasoning-systematic-comparison/)** *(2026)* The paper asks which training strategy actually helps LLMs reason over graphs in a way that transfers beyond the training setting. ## All works 3 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. **[Generalized Planning in PDDL Domains with Pretrained Large Language Models](https://md.research.elamur.ai/free/en/papers/silver-2023-generalized-planning-pddl-domains-pretrained/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Tom Silver, Soham Dan, Kavitha Srinivas, et al.*2023 · 112 citations* 2. **[Exploring Code Style Transfer with Neural Networks ↗](https://arxiv.org/abs/2209.06273) arXiv:2209.06273 · no summary yet**Karl Munson et al.*2022 · 1 citation* 3. **[Generalization in Graph Reasoning: A Systematic Comparison of LLM Training Approaches](https://md.research.elamur.ai/free/en/papers/shirai-2026-generalization-graph-reasoning-systematic-comparison/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Sola Shirai, Kavitha Srinivas, Julian Dolby, et al.*2026* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Michael Katz](https://md.research.elamur.ai/free/en/authors/michael-katz/) ×2 - [Joshua B. Tenenbaum](https://md.research.elamur.ai/free/en/authors/joshua-b-tenenbaum/) - [Julian Dolby](https://md.research.elamur.ai/free/en/authors/julian-dolby/) - [Leslie Pack Kaelbling](https://md.research.elamur.ai/free/en/authors/leslie-pack-kaelbling/) - [Soham Dan](https://md.research.elamur.ai/free/en/authors/soham-dan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/): [Proceedings of the AAAI Conference on Artificial Intelligence 2023](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2023/) - [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/): [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era 2026](https://md.research.elamur.ai/free/en/venues/surgellm/2026/) ## Cited by Papers of our library cite their works 36 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kavitha-srinivas/cited-by/). Updated 3 November 2026