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Amir M. Rahmani

University of California Irvine

20 papers hereh-index 10617 citations26 works total

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

author position
  • middle author6
  • last author14

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.LG6
  • cs.AI3
  • cs.IR2
  • cs.SD1
  • stat.AP1
affiliations
  • University of California Irvine
Homepage
same name
  • Amir M. Rahmani — 13 papers, h 4
  • Amir M. Rahmani — 10 papers, h 9
  • Amir M. Rahmani — 10 papers, h 4
  • Amir M. Rahmani — 6 papers, h 2
  • Amir M. Rahmani — 1 paper
  • Amir M. Rahmani — 1 paper

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

activity
20232026
most citedChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework

115 citations · 157 across the 19 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.CL2023★ 29 cited

Conversational Health Agents: A Personalized LLM-Powered Agent Framework

Mahyar Abbasian, Iman Azimi, Amir M. Rahmani +1

Conversational Health Agents (CHAs) are interactive systems that provide healthcare services, such as assistance and diagnosis. Current CHAs, especially those utilizing Large Langu…

cs.CL2023

Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AI

Mahyar Abbasian, Elahe Khatibi, Iman Azimi +11

Generative Artificial Intelligence is set to revolutionize healthcare delivery by transforming traditional patient care into a more personalized, efficient, and proactive process.…

cs.LG2023

Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation

Mahyar Abbasian, Taha Rajabzadeh, Ahmadreza Moradipari +3

Generative Adversarial Networks (GAN) have emerged as a formidable AI tool to generate realistic outputs based on training datasets. However, the challenge of exerting control over…

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