--- title: "Subbarao Kambhampati — author profile and papers in our library" description: "Subbarao Kambhampati, Arizona State University: 2 papers on Elamur Research (2022–2023), h-index 50 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/subbarao-kambhampati/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/subbarao-kambhampati/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Subbarao Kambhampati # Subbarao Kambhampati Subbarao Kambhampati has 2 papers in our library, in 2022–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/). 2 papers in our library · 2022–2023 [OpenAlex](https://openalex.org/A5023323170) · [ORCID](https://orcid.org/0000-0002-9069-0265) · [Wikidata](https://www.wikidata.org/wiki/Q57400754) · [**h-index 50**](https://openalex.org/authors/A5023323170) · [571 works](https://openalex.org/works?filter=author.id:A5023323170) · [10,294 citations](https://openalex.org/works?filter=author.id:A5023323170&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/subbarao-kambhampati/#papers) · [🔗 Cited 452 times in our library](https://md.research.elamur.ai/free/en/authors/subbarao-kambhampati/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5421](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5421) 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=Subbarao+Kambhampati) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Subbarao+Kambhampati) · [dblp](https://dblp.org/search?q=Subbarao+Kambhampati) · [ACL Anthology](https://aclanthology.org/search/?q=Subbarao+Kambhampati) ## Affiliations [🎓**Arizona State University** Tempe · United States 1992–2026 · 342 papers*current*](https://md.research.elamur.ai/free/en/universities/arizona-state-university/) · [🎓**Stanford University** Stanford · United States 1990–2004 · 9 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**University of Maryland, College Park** College Park · United States 1986–2005 · 5 papersEducation until 1989](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Artificial intelligence · 1 work](https://md.research.elamur.ai/free/en/concepts/artificial-intelligence/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/subbarao-kambhampati/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/subbarao-kambhampati/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change](https://md.research.elamur.ai/free/en/papers/valmeekam-2022-planbench-extensible-benchmark-evaluating-large/)** *(2022 · 222 citations)* Claims that large language models can plan often rest on commonsense tasks, where a correct answer may come from memorized world knowledge rather than actual reasoning. 2. **[Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/arora-2023-learning-leveraging-verifiers-improve-planning/)** *(2023 · 10 citations)* This paper examines why fine-tuned language models plan poorly. In the Blocksworld domain, the authors find that the main failure is proposing actions whose preconditions do not hold in the current state. They fine-tune GPT-2 as a generator that reads a textual goal and current state and outputs the next action and… ## All works 7 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. **[Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy ↗](https://doi.org/10.24963/ijcai.2017/23) International Joint Conference on Artificial Intelligence · no summary yet**Tathagata Chakraborti et al.*2017 · 250 citations* 2. **[PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change](https://md.research.elamur.ai/free/en/papers/valmeekam-2022-planbench-extensible-benchmark-evaluating-large/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Karthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.*2022 · 222 citations* 3. **[On the Planning Abilities of Large Language Models : A Critical Investigation ↗](https://arxiv.org/abs/2305.15771) arXiv:2305.15771 · no summary yet**Karthik Valmeekam et al.*2023 · 191 citations* 4. **[Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning ↗](https://arxiv.org/abs/2305.14909) arXiv:2305.14909 · no summary yet**Lin Guan et al.*2023 · 115 citations* 5. **[LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks ↗](https://arxiv.org/abs/2402.01817) arXiv:2402.01817 · Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024 · no summary yet**Subbarao Kambhampati et al.*2024 · 88 citations* 6. **[On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks ↗](https://arxiv.org/abs/2402.08115) arXiv:2402.08115 · no summary yet**Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati*2024 · 42 citations* 7. [**Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models arXiv:2305.17077**Daman Arora, Subbarao Kambhampati*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/arora-2023-learning-leveraging-verifiers-improve-planning/) ## 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/): [NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/) - International Joint Conference on Artificial Intelligence ## Cited by Papers of our library cite their works 452 times (of the 149,439 papers whose bibliographies we read); [62 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/subbarao-kambhampati/cited-by/). Updated 30 October 2026