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Tina Eliassi-Rad

5 papers hereh-index 13 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG1
same name
  • Tina Eliassi-Rad — 44 papers, h 42
  • Tina Eliassi-Rad — 5 papers, h 3
  • Tina Eliassi-Rad — 5 papers, h 2
  • Tina Eliassi-Rad — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedThe Trilemma of Truth in Large Language Models

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Toward a Graded Measure of Belief Stability in Large Language Models

Samantha Dies, Branden Fitelson, Tina Eliassi-Rad

Large language models (LLMs) increasingly mediate how people access and reason with information, yet factual reliability is usually evaluated one judgment at a time. We introduce g…

cs.CL2026

Belief Coevolution in a Social Network of Generalist and Specialist Large Language Models: A Controlled Study

Germans Savcisens, Samantha Dies, Courtney Maynard +1

Large language models (LLMs) are increasingly deployed in multi-agent environments. However, the processes by which beliefs form and propagate among interacting LLMs remain poorly…

cs.CL2025

Epistemic Familiarity is Associated With Belief Stability in Large Language Models

Samantha Dies, Courtney Maynard, Germans Savcisens +1

Large language models (LLMs) are widely used as information sources, yet small changes in semantic assumptions can destabilize their beliefs. We introduce P-StaT (Perturbation Stab…

cs.CL2025★ 2 cited

The Trilemma of Truth in Large Language Models

Germans Savcisens, Tina Eliassi-Rad

The public often attributes human-like qualities to large language models (LLMs), assuming that they "know" certain things. In reality, LLMs encode information retained during trai…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.