--- title: "Karthik Valmeekam — author profile and papers in our library" description: "Karthik Valmeekam, Arizona State University: 4 papers on Elamur Research (2022–2024), h-index 8 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/karthik-valmeekam/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/karthik-valmeekam/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Karthik Valmeekam # Karthik Valmeekam Karthik Valmeekam has 4 papers in our library, in 2022–2024, 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/); often with [Subbarao Kambhampati](https://md.research.elamur.ai/free/en/authors/subbarao-kambhampati/), [Sarath Sreedharan](https://md.research.elamur.ai/free/en/authors/sarath-sreedharan/), [Lin Guan](https://md.research.elamur.ai/free/en/authors/lin-guan/). 4 papers in our library · 2022–2024 [OpenAlex](https://openalex.org/A5017044794) · [**h-index 8**](https://openalex.org/authors/A5017044794) · [21 works](https://openalex.org/works?filter=author.id:A5017044794) · [302 citations](https://openalex.org/works?filter=author.id:A5017044794&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/karthik-valmeekam/#papers) · [🔗 Cited 443 times in our library](https://md.research.elamur.ai/free/en/authors/karthik-valmeekam/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3765](https://md.research.elamur.ai/free/en/paper-stars/page/38/#star-3765) 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=Karthik+Valmeekam) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Karthik+Valmeekam) · [dblp](https://dblp.org/search?q=Karthik+Valmeekam) · [ACL Anthology](https://aclanthology.org/search/?q=Karthik+Valmeekam) ## Affiliations [🎓**Arizona State University** Tempe · United States 2022–2025 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/arizona-state-university/) 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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [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/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 4 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 [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/karthik-valmeekam/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/karthik-valmeekam/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/karthik-valmeekam/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. **[On the Planning Abilities of Large Language Models : A Critical Investigation](https://md.research.elamur.ai/free/en/papers/valmeekam-2023-planning-abilities-large-language-models/)** *(2023 · 191 citations)* This NeurIPS 2023 study asks whether large language models can plan, given claims that web-trained LLMs show emergent reasoning. 3. **[Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning](https://md.research.elamur.ai/free/en/papers/guan-2023-leveraging-pre-trained-large-language/)** *(2023 · 115 citations)* The paper argues that LLMs should not act as planners themselves. Instead, they should build the world model that a classical planner then uses. The authors give GPT-4 a list of actions with short natural-language descriptions and have it write PDDL action models, meaning predicates, preconditions and effects. Early… 4. **[LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks](https://md.research.elamur.ai/free/en/papers/kambhampati-2024-llms-t-plan-but-help/)** *(2024 · 88 citations)* This position paper responds to two opposing errors in the debate on LLMs and planning. One overstates their reasoning ability. The other treats them as mere text-to-symbol converters for classical solvers. The authors review evidence, much of it from their own group, that autoregressive LLMs cannot reliably produce… ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 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/) [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* 2. **[On the Planning Abilities of Large Language Models : A Critical Investigation](https://md.research.elamur.ai/free/en/papers/valmeekam-2023-planning-abilities-large-language-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, et al.*2023 · 191 citations* 3. **[Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning](https://md.research.elamur.ai/free/en/papers/guan-2023-leveraging-pre-trained-large-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Lin Guan, Karthik Valmeekam, Sarath Sreedharan, et al.*2023 · 115 citations* 4. [**LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks arXiv:2402.01817 · Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024**Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, et al.*2024 · 88 citations*](https://md.research.elamur.ai/free/en/papers/kambhampati-2024-llms-t-plan-but-help/) 5. **[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* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Subbarao Kambhampati](https://md.research.elamur.ai/free/en/authors/subbarao-kambhampati/) ×4 - [Sarath Sreedharan](https://md.research.elamur.ai/free/en/authors/sarath-sreedharan/) ×3 - [Lin Guan](https://md.research.elamur.ai/free/en/authors/lin-guan/) ×2 - [Matthew Marquez](https://md.research.elamur.ai/free/en/authors/matthew-marquez/) ×2 ## 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/) ×3: [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) ×2, [NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/) ## Cited by Papers of our library cite their works 443 times (of the 149,439 papers whose bibliographies we read); [79 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/karthik-valmeekam/cited-by/). Updated 2 November 2026