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Keerthiram Murugesan

Keerthiram Murugesan has 4 papers in our library, in 2026, most of them on Question answering, Knowledge graphs & ontologies, Efficient models & compression; often with Chuxu Zhang, Kaiwen Shi, Vincent Galassi.

4 papers in our library · 2026

OpenAlex · ORCID · h-index 11 · 82 works · 374 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 7 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #10340

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering (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 (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 (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 (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.

All works

7 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. Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetSubhajit Chaudhury et al.2023 · 5 citations
  2. OjaKV: Context-Aware Online Low-Rank KV Cache CompressionFindings of the Association for Computational LinguisticsYuxuan Zhu, David H. Yang, Mohammad Mohammadi Amiri, et al.2026 · 2 citations
  3. The Unlearning Mirage: A Dynamic Framework for Evaluating LLM Unlearning ↗arXiv (Cornell University) · no summary yetRaj Sanjay Shah et al.2026
  4. ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetDavid H. Yang et al.2026

 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

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