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Shivam Ratnakar

Shivam Ratnakar has 3 papers in our library, in 2026, most of them on Language models & pretraining, Knowledge graphs & ontologies, Information retrieval & search.

3 papers in our library · 2026

OpenAlex · h-index 1 · 13 works · 4 citations OpenAlex, 2026-10-14

📄 3 works in our library · ⭐ Paper Stars ranking: #11853

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

🎓University of Southern CaliforniaLos Angeles · United States2025–2026 · 10 paperscurrent

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 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 2 worksBias, fairness & safety · 1 workInformation retrieval & search · 1 workInterpretability · 1 workKnowledge graphs & ontologies · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. LatentGate: Low-Latency Semantic Routing via Frozen-Backbone Probing of Small Language Models (2026)
    In a multi-agent system with about a hundred agents, choosing the right agent for each request becomes a bottleneck.
  2. One Retrieval to Cover Them All: Co-occurrence-Aware Knowledge Base Reorganization for Session-Level RAG (2026)
    Retrieval-augmented generation is usually tuned to answer one question at a time. Enterprise support users, however, tend to arrive with a whole episode of connected needs, and the documents relevant to that episode often sit far apart in embedding space. The authors frame this as a session problem and propose two…
  3. The Geometry of Refusal: Linear Instability in Safety-Aligned LLMs (2026)
    The paper asks whether refusal in safety-aligned LLMs reflects deep semantic judgment or a shallow linear feature that can be manipulated.

Venues

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

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/shivam-ratnakar/