Edoardo Mosca
12 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (26) π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (5) π§ Keyword Pioneer
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(10)
π
Keyword Champion
(2)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(54)
π₯
Unstoppable
(5)
π
Century Club
(12)
β
The Questioner
(4)
Conferences
ACL (5)
COLING (2)
IJCNLP (2)
NAACL (2)
AACL (1)
Top co-authors
Keywords
natural language processing
(4)
text classification
(3)
large language model
(2)
feature attribution
(2)
shapley additive explanation
(2)
text simplification
(2)
adversarial attack detection
(2)
neural network
(2)
machine-generated text detection
(1)
feature space
(1)
multilingual nlp
(1)
performance evaluation
(1)
constituency parsing
(1)
adversarial attack
(1)
adversarial robustness
(1)
shapley value
(1)
deep learning
(1)
adversarial example
(1)
model explanation
(1)
local explanation
(1)
Papers
(Dis)improved?! How Simplified Language Affects Large Language Model Performance across Languages
ACL 2025
Simpler Becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?
COLING 2024
Distinguishing Fact from Fiction: A Benchmark Dataset for Identifying Machine-Generated Scientific Papers in the LLM Era.
ACL 2023
IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models
IJCNLP 2023
βDr LLM, what do I have?β: The Impact of User Beliefs and Prompt Formulation on Health Diagnoses
IJCNLP 2023
βDr LLM, what do I have?β: The Impact of User Beliefs and Prompt Formulation on Health Diagnoses
AACL 2023
Explaining Neural NLP Models for the Joint Analysis of Open-and-Closed-Ended Survey Answers
NAACL 2022
βThat Is a Suspicious Reaction!β: Interpreting Logits Variation to Detect NLP Adversarial Attacks
ACL 2022
GrammarSHAP: An Efficient Model-Agnostic and Structure-Aware NLP Explainer
ACL 2022
Detecting Word-Level Adversarial Text Attacks via SHapley Additive exPlanations
ACL 2022
SHAP-Based Explanation Methods: A Review for NLP Interpretability
COLING 2022
Understanding and Interpreting the Impact of User Context in Hate Speech Detection
NAACL 2021