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Emine Yilmaz

7 papers hereh-index 473 citations7 works total

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

author position
  • middle author2
  • last author4

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI2
  • cs.LG1
same name
  • Emine Yilmaz — 37 papers, h 41
  • Emine Yilmaz — 14 papers, h 9
  • Emine Yilmaz — 7 papers, h 4
  • Emine Yilmaz — 7 papers, h 1
  • Emine Yilmaz — 6 papers, h 6
  • Emine Yilmaz — 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

activity
20242026
most citedPREF: Reference-Free Evaluation of Personalised Text Generation in LLMs

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Automatic multimodal UX improvement recommendations from LLM agent user simulations

Anu Chowdhury, Bin Wu, Hossein A. Rahmani +1

Evaluating user experience (UX) on live websites through user testing is expensive, subjective, and difficult to scale. LLM agents offer a promising route to automating UX testing…

cs.CL2025★ 1 cited

PREF: Reference-Free Evaluation of Personalised Text Generation in LLMs

Xiao Fu, Hossein A. Rahmani, Bin Wu +3

Personalised text generation is essential for user-centric information systems, yet most evaluation methods overlook the individuality of users. We introduce \textbf{PREF}, a \text…

cs.CL2024

Understanding the Role of User Profile in the Personalization of Large Language Models

Bin Wu, Zhengyan Shi, Hossein A. Rahmani +2

Utilizing user profiles to personalize Large Language Models (LLMs) has been shown to enhance the performance on a wide range of tasks. However, the precise role of user profiles a…

cs.CL2024

Instruction Tuning With Loss Over Instructions

Zhengyan Shi, Adam X. Yang, Bin Wu +3

Instruction tuning plays a crucial role in shaping the outputs of language models (LMs) to desired styles. In this work, we propose a simple yet effective method, Instruction Model…

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