Mennatallah El-Assady
18 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Topic Evolution
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Prolific Year · Productive
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Century Club · Bronze
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Research topics
Artificial Intelligence
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Core AI
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Machine Learning
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Natural Language Processing
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Learning Types · Machine Learning
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Deep Learning
(6)
Generation
(4)
Resources & Methods
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Core Methods
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Learning Types · Deep Learning
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Linguistics
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Keywords
explainable ai
(4)
visual analytics
(3)
feature attribution
(3)
natural language inference
(2)
natural language processing
(2)
model interpretability
(2)
language model
(2)
large language model
(2)
reward modeling
(1)
model robustness
(1)
benchmark evaluation
(1)
representation learning
(1)
text generation
(1)
data annotation
(1)
uncertainty quantification
(1)
text classification
(1)
semantic segmentation
(1)
confidence calibration
(1)
linguistic annotation
(1)
bert model
(1)
Papers
CafGa: Customizing Feature Attributions to Explain Language Models
EMNLP 2025
Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification
EMNLP 2025
Dia-Lingle: A Gamified Interface for Dialectal Data Collection
ACL 2025
Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges
ACL 2025
Reward Learning from Multiple Feedback Types
ICLR 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
NeurIPS 2024
On Affine Homotopy between Language Encoders
NeurIPS 2024
PowerGraph: A power grid benchmark dataset for graph neural networks
NeurIPS 2024
SyntaxShap: Syntax-aware Explainability Method for Text Generation
ACL 2024
A Diachronic Perspective on User Trust in AI under Uncertainty
EMNLP 2023
Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals
ACL 2023
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems
EMNLP 2022
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings
MIDL 2022
Explaining Contextualization in Language Models using Visual Analytics
ACL 2021
Representation Problems in Linguistic Annotations: Ambiguity, Variation, Uncertainty, Error and Bias
COLING 2020
XplaiNLI: Explainable Natural Language Inference through Visual Analytics
COLING 2020
lingvis.io - A Linguistic Visual Analytics Framework
ACL 2019
Interactive Visual Analysis of Transcribed Multi-Party Discourse
ACL 2017