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Hoda Eldardiry

Virginia Tech

46 papers hereh-index 181.2k citations119 works total

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

author position
  • middle author9
  • last author36

Across the 45 of 46 papers where every author was matched, so the position is known.

fields
  • cs.LG14
  • cs.CL8
  • cs.CV4
  • cs.IR4
  • stat.ML4
  • cs.CY3
affiliations
  • Virginia Tech
Homepage
same name
  • Hoda Eldardiry — 1 paper, h 0

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
20172026
most citedLearning Role-based Graph Embeddings

69 citations · 172 across the 44 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CL2024

VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models

Ming Cheng, Jiaying Gong, Chenhan Yuan +3

Existing text simplification or paraphrase datasets mainly focus on sentence-level text generation in a general domain. These datasets are typically developed without using domain…

cs.MA2024★ 1 cited

Learning Emergence of Interaction Patterns across Independent RL Agents in Multi-Agent Environments

Vasanth Reddy Baddam, Suat Gumussoy, Almuatazbellah Boker +1

Many real-world problems, such as controlling swarms of drones and urban traffic, naturally lend themselves to modeling as multi-agent reinforcement learning (RL) problems. However…

cs.CL2024★ 1 cited

Few-Shot Relation Extraction with Hybrid Visual Evidence

Jiaying Gong, Hoda Eldardiry

The goal of few-shot relation extraction is to predict relations between name entities in a sentence when only a few labeled instances are available for training. Existing few-shot…

cs.IR2024

Multi-Label Zero-Shot Product Attribute-Value Extraction

Jiaying Gong, Hoda Eldardiry

E-commerce platforms should provide detailed product descriptions (attribute values) for effective product search and recommendation. However, attribute value information is typica…

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