--- title: "Keerthiram Murugesan · IBM — author profile and papers" description: "Keerthiram Murugesan, IBM: 5 papers on Elamur Research (2026), h-index 11 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/keerthiram-murugesan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/keerthiram-murugesan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Keerthiram Murugesan # Keerthiram Murugesan Keerthiram Murugesan has 5 papers in our library, in 2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Chuxu Zhang](https://md.research.elamur.ai/free/en/authors/chuxu-zhang/), [David H. Yang](https://md.research.elamur.ai/free/en/authors/david-h-yang/), [Kaiwen Shi](https://md.research.elamur.ai/free/en/authors/kaiwen-shi/). 5 papers in our library · 2026 [OpenAlex](https://openalex.org/A5104188415) · [ORCID](https://orcid.org/0000-0001-6847-522X) · [**h-index 11**](https://openalex.org/authors/A5104188415) · [82 works](https://openalex.org/works?filter=author.id:A5104188415) · [374 citations](https://openalex.org/works?filter=author.id:A5104188415&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/keerthiram-murugesan/#papers) · [🔗 Cited 7 times in our library](https://md.research.elamur.ai/free/en/authors/keerthiram-murugesan/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11588](https://md.research.elamur.ai/free/en/paper-stars/page/116/#star-11588) 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=Keerthiram+Murugesan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Keerthiram+Murugesan) · [dblp](https://dblp.org/search?q=Keerthiram+Murugesan) · [ACL Anthology](https://aclanthology.org/search/?q=Keerthiram+Murugesan) ## Affiliations [🏢**IBM** Armonk · United States 2021–2026 · 52 papers*current*](https://md.research.elamur.ai/free/en/companies/ibm/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2016–2018 · 8 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 2022–2025 · 7 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/) · [🎓**ETH Zurich** Zurich · Switzerland 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/eth-zurich/) · [🔬**IBM Research - Zurich** Rüschlikon · Switzerland 2021 · 2 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-zurich/) · [🎓**University of Kentucky** Lexington · United States 2011 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-kentucky/) 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 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) 🧭 Topics 5 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Question answering · 2 works](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/keerthiram-murugesan/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2026-agentrouter-knowledge-graph-guided-llm/)** *(2026 · 4 citations)* With so many LLMs and agent strategies available, it is hard to know which configuration will work best for a given QA task. 2. **[OjaKV: Context-Aware Online Low-Rank KV Cache Compression](https://md.research.elamur.ai/free/en/papers/zhu-2026-ojakv-context-aware-online-low/)** *(2026 · 2 citations)* Long-context LLM inference is limited by GPU memory for the key-value (KV) cache. For Llama-3.1-8B with a 32K-token prompt at batch size 4, the cache reaches about 16 GB, roughly the size of the model weights. Earlier low-rank compression methods project keys and values onto a fixed basis learned offline from… 3. **[Context Attribution with Multi-Armed Bandit Optimization](https://md.research.elamur.ai/free/en/papers/pan-2026-context-attribution-multi-armed-bandit/)** *(2026)* In retrieval-augmented generation, it helps to know which retrieved passages actually shaped an LLM's answer. 4. **[NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering](https://md.research.elamur.ai/free/en/papers/shi-2026-ng-router-graph-supervised-multi/)** *(2026)* The paper tackles nutrition question answering, where a system must judge whether a food suits a particular person given their health conditions, habits and the food's nutritional profile. 5. **[ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval](https://md.research.elamur.ai/free/en/papers/yang-2026-zoomr-memory-efficient-reasoning-through/)** *(2026)* Reasoning LLMs write long chains of thought, and the KV cache used during decoding grows with every generated token. ## All works 7 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. **[Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning ↗](https://aclanthology.org/2023.acl-long.373/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Subhajit Chaudhury et al.*2023 · 5 citations* 2. **[AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2026-agentrouter-knowledge-graph-guided-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zheyuan Zhang, Kaiwen Shi, Zhengqing Yuan, et al.*2026 · 4 citations* 3. **[OjaKV: Context-Aware Online Low-Rank KV Cache Compression](https://md.research.elamur.ai/free/en/papers/zhu-2026-ojakv-context-aware-online-low/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxuan Zhu, David H. Yang, Mohammad Mohammadi Amiri, et al.*2026 · 2 citations* 4. **[Context Attribution with Multi-Armed Bandit Optimization](https://md.research.elamur.ai/free/en/papers/pan-2026-context-attribution-multi-armed-bandit/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Deng Pan, Keerthiram Murugesan, Ting Hua, et al.*2026* 5. **[NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering](https://md.research.elamur.ai/free/en/papers/shi-2026-ng-router-graph-supervised-multi/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, et al.*2026* 6. **[ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval](https://md.research.elamur.ai/free/en/papers/yang-2026-zoomr-memory-efficient-reasoning-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**David H. Yang, Yuxuan Zhu, Mohammad Mohammadi Amiri, et al.*2026* 7. **[The Unlearning Mirage: A Dynamic Framework for Evaluating LLM Unlearning ↗](https://arxiv.org/abs/2603.11266) arXiv (Cornell University) · no summary yet**Raj Sanjay Shah et al.*2026* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Chuxu Zhang](https://md.research.elamur.ai/free/en/authors/chuxu-zhang/) ×2 - [David H. Yang](https://md.research.elamur.ai/free/en/authors/david-h-yang/) ×2 - [Kaiwen Shi](https://md.research.elamur.ai/free/en/authors/kaiwen-shi/) ×2 - [Mohammad Mohammadi Amiri](https://md.research.elamur.ai/free/en/authors/mohammad-mohammadi-amiri/) ×2 - [Pin-Yu Chen](https://md.research.elamur.ai/free/en/authors/pin-yu-chen/) ×2 - [Tejaswini Pedapati](https://md.research.elamur.ai/free/en/authors/tejaswini-pedapati/) ×2 - [Vincent Galassi](https://md.research.elamur.ai/free/en/authors/vincent-galassi/) ×2 - [Yanfang Ye](https://md.research.elamur.ai/free/en/authors/yanfang-ye/) ×2 - [Yuxuan Zhu](https://md.research.elamur.ai/free/en/authors/yuxuan-zhu/) ×2 - [Zhengqing Yuan](https://md.research.elamur.ai/free/en/authors/zhengqing-yuan/) ×2 - [Zheyuan Zhang](https://md.research.elamur.ai/free/en/authors/zheyuan-zhang/) ×2 - [Nitesh V. Chawla](https://md.research.elamur.ai/free/en/authors/nitesh-v-chawla/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [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 - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) ## Cited by Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/keerthiram-murugesan/cited-by/). Updated 2 November 2026