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researcher

Rada Mihalcea

18 papers hereh-index 7026.2k citations269 works total

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

author position
  • first author1
  • middle author8
  • last author8

Across the 17 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CL11
  • cs.CY3
  • cs.CV2
  • cs.HC1
  • cs.SI1
same name
  • Rada Mihalcea — 92 papers, h 53
  • Rada Mihalcea — 48 papers, h 10
  • Rada Mihalcea — 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
20202025
most citedMatching Tweets With Applicable Fact-Checks Across Languages

5 citations · 13 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts

Deepanway Ghosal, Navonil Majumder, Roy Ka-Wei Lee +2

Visual question answering (VQA) is the task of answering questions about an image. The task assumes an understanding of both the image and the question to provide a natural languag…

cs.SI2023

Misinformation as Information Pollution

Ashkan Kazemi, Rada Mihalcea

Social media feed algorithms are designed to optimize online social engagements for the purpose of maximizing advertising profits, and therefore have an incentive to promote contro…

cs.HC2023

EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms

Naihao Deng, Yikai Liu, Mingye Chen +5

The performance of current supervised AI systems is tightly connected to the availability of annotated datasets. Annotations are usually collected through annotation tools, which a…

cs.CL2023

You Are What You Annotate: Towards Better Models through Annotator Representations

Naihao Deng, Xinliang Frederick Zhang, Siyang Liu +3

Annotator disagreement is ubiquitous in natural language processing (NLP) tasks. There are multiple reasons for such disagreements, including the subjectivity of the task, difficul…

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