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Conferences
Golnoosh Farnadi
19 papers at tracked venues · 13 at CORE A* · active 2024–2026
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Venues
AAAI
×5
EACL
×3
ACL
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ICLR
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NeurIPS
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ECIR
×1
EMNLP
×1
ICCV
×1
ICML
×1
NAACL
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Frequent coauthors
Khaoula Chehbouni
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Ahmad-Reza Ehyaei
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Alireza Dehghanpour Farashah
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Prakhar Ganesh
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Cléa Chataigner
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Armin Moradi
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Ibtihel Amara
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Shahrad Mohammadzadeh
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Aly M. Kassem
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Ahmed Imtiaz Humayun
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Meraj Hashemizadeh
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William St-Arnaud
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Papers
Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs
EACL 2026
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Alireza Dehghanpour Farashah
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Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity
EACL 2026
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Prakhar Ganesh
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Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework
EACL 2026
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Cléa Chataigner
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Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
NAACL 2025
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Khaoula Chehbouni
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Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
AAAI 2025
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Ahmad-Reza Ehyaei
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Embedding Cultural Diversity in Prototype-Based Recommender Systems
ECIR 2025
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Armin Moradi
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Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
AAAI 2025
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Khaoula Chehbouni
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Erasing More Than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts
ICCV 2025
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Ibtihel Amara
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Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training
ACL 2025
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Shahrad Mohammadzadeh
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Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
NeurIPS 2025
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Khaoula Chehbouni
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REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing
EMNLP 2025
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Aly M. Kassem
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What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
ICLR 2025
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Ahmed Imtiaz Humayun
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Balancing Act: Constraining Disparate Impact in Sparse Models
ICLR 2024
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Meraj Hashemizadeh
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Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces
AAAI 2024
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Ahmad-Reza Ehyaei
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From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards
ACL 2024
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Khaoula Chehbouni
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Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract)
AAAI 2024
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William St-Arnaud
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Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
ICML 2024
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Golnoosh Farnadi
Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread
AAAI 2024
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Nicola Neophytou
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Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness
NeurIPS 2024
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Ahmad-Reza Ehyaei
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