Saved in:
| Main Authors: | Carichon, Florian, Rampa, Romain, Farnadi, Golnoosh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.24027 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Can LLMs Cook Jamaican Couscous? A Study of Cultural Novelty in Recipe Generation
by: Carichon, F., et al.
Published: (2026)
by: Carichon, F., et al.
Published: (2026)
Understanding Intrinsic Socioeconomic Biases in Large Language Models
by: Arzaghi, Mina, et al.
Published: (2024)
by: Arzaghi, Mina, et al.
Published: (2024)
Intrinsic Meets Extrinsic Fairness: Assessing the Downstream Impact of Bias Mitigation in Large Language Models
by: Arzaghi', 'Mina, et al.
Published: (2025)
by: Arzaghi', 'Mina, et al.
Published: (2025)
IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs
by: Carichon, F., et al.
Published: (2026)
by: Carichon, F., et al.
Published: (2026)
Embedding Cultural Diversity in Prototype-based Recommender Systems
by: Moradi, Armin, et al.
Published: (2024)
by: Moradi, Armin, et al.
Published: (2024)
Mechanics of Bias and Reasoning: Interpreting the Impact of Chain-of-Thought Prompting on Gender Bias in LLMs
by: Pearman, Edie, et al.
Published: (2026)
by: Pearman, Edie, et al.
Published: (2026)
The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process
by: Carichon, Florian, et al.
Published: (2025)
by: Carichon, Florian, et al.
Published: (2025)
Reasoning with Preference Constraints: A Benchmark for Language Models in Many-to-One Matching Markets
by: Fauchard, Marylou, et al.
Published: (2025)
by: Fauchard, Marylou, et al.
Published: (2025)
LoRA Provides Differential Privacy by Design via Random Sketching
by: Malekmohammadi, Saber, et al.
Published: (2024)
by: Malekmohammadi, Saber, et al.
Published: (2024)
Multilingual Hallucination Gaps in Large Language Models
by: Chataigner, Cléa, et al.
Published: (2024)
by: Chataigner, Cléa, et al.
Published: (2024)
Towards More Realistic Extraction Attacks: An Adversarial Perspective
by: More, Yash, et al.
Published: (2024)
by: More, Yash, et al.
Published: (2024)
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing
by: Kassem, Aly M., et al.
Published: (2025)
by: Kassem, Aly M., et al.
Published: (2025)
Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild
by: Mireshghallah, Niloofar, et al.
Published: (2024)
by: Mireshghallah, Niloofar, et al.
Published: (2024)
Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
by: Chehbouni, Khaoula, et al.
Published: (2025)
by: Chehbouni, Khaoula, et al.
Published: (2025)
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
by: Chehbouni, Khaoula, et al.
Published: (2024)
by: Chehbouni, Khaoula, et al.
Published: (2024)
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
by: Chehbouni, Khaoula, et al.
Published: (2025)
by: Chehbouni, Khaoula, et al.
Published: (2025)
Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training
by: Mohammadzadeh, Shahrad, et al.
Published: (2024)
by: Mohammadzadeh, Shahrad, et al.
Published: (2024)
Recipe Generation from Unsegmented Cooking Videos
by: Nishimura, Taichi, et al.
Published: (2022)
by: Nishimura, Taichi, et al.
Published: (2022)
Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework
by: Chataigner, Cléa, et al.
Published: (2025)
by: Chataigner, Cléa, et al.
Published: (2025)
Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs
by: Farashah, Alireza Dehghanpour, et al.
Published: (2026)
by: Farashah, Alireza Dehghanpour, et al.
Published: (2026)
Losses that Cook: Topological Optimal Transport for Structured Recipe Generation
by: Ottoborgo, Mattia, et al.
Published: (2026)
by: Ottoborgo, Mattia, et al.
Published: (2026)
From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards
by: Chehbouni, Khaoula, et al.
Published: (2024)
by: Chehbouni, Khaoula, et al.
Published: (2024)
On Recipe Memorization and Creativity in Large Language Models: Is Your Model a Creative Cook, a Bad Cook, or Merely a Plagiator?
by: Kvapil, Jan, et al.
Published: (2025)
by: Kvapil, Jan, et al.
Published: (2025)
Fairness in Federated Learning: Fairness for Whom?
by: Taik, Afaf, et al.
Published: (2025)
by: Taik, Afaf, et al.
Published: (2025)
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
by: Farnadi, Golnoosh, et al.
Published: (2024)
by: Farnadi, Golnoosh, et al.
Published: (2024)
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations
by: Moradi, Armin, et al.
Published: (2024)
by: Moradi, Armin, et al.
Published: (2024)
Differentially Private Clustered Federated Learning
by: Malekmohammadi, Saber, et al.
Published: (2024)
by: Malekmohammadi, Saber, et al.
Published: (2024)
PizzaCommonSense: Learning to Model Commonsense Reasoning about Intermediate Steps in Cooking Recipes
by: Diallo, Aissatou, et al.
Published: (2024)
by: Diallo, Aissatou, et al.
Published: (2024)
Semantic Novelty Trajectories in 80,000 Books: A Cross-Corpus Embedding Analysis
by: Zimmerman, Fred
Published: (2026)
by: Zimmerman, Fred
Published: (2026)
Promoting Fair Vaccination Strategies Through Influence Maximization: A Case Study on COVID-19 Spread
by: Neophytou, Nicola, et al.
Published: (2024)
by: Neophytou, Nicola, et al.
Published: (2024)
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness
by: Ehyaei, Ahmad-Reza, et al.
Published: (2023)
by: Ehyaei, Ahmad-Reza, et al.
Published: (2023)
DataChef: Cooking Up Optimal Data Recipes for LLM Adaptation via Reinforcement Learning
by: Chen, Yicheng, et al.
Published: (2026)
by: Chen, Yicheng, et al.
Published: (2026)
Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation
by: Hu, Tianyi, et al.
Published: (2025)
by: Hu, Tianyi, et al.
Published: (2025)
Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter
by: Ali, Nuredin, et al.
Published: (2024)
by: Ali, Nuredin, et al.
Published: (2024)
Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation
by: Kjorvezir, Denica, et al.
Published: (2026)
by: Kjorvezir, Denica, et al.
Published: (2026)
Semantic Label Drift in Cross-Cultural Translation
by: Kabir, Mohsinul, et al.
Published: (2025)
by: Kabir, Mohsinul, et al.
Published: (2025)
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
by: Ganesh, Prakhar, et al.
Published: (2024)
by: Ganesh, Prakhar, et al.
Published: (2024)
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees
by: Meisenbacher, Stephen, et al.
Published: (2025)
by: Meisenbacher, Stephen, et al.
Published: (2025)
Enhancing Action and Ingredient Modeling for Semantically Grounded Recipe Generation
by: Liu, Guoshan, et al.
Published: (2026)
by: Liu, Guoshan, et al.
Published: (2026)
Semantic Novelty at Scale: Narrative Shape Taxonomy and Readership Prediction in 28,606 Books
by: Zimmerman, W. Frederick
Published: (2026)
by: Zimmerman, W. Frederick
Published: (2026)
Similar Items
-
Can LLMs Cook Jamaican Couscous? A Study of Cultural Novelty in Recipe Generation
by: Carichon, F., et al.
Published: (2026) -
Understanding Intrinsic Socioeconomic Biases in Large Language Models
by: Arzaghi, Mina, et al.
Published: (2024) -
Intrinsic Meets Extrinsic Fairness: Assessing the Downstream Impact of Bias Mitigation in Large Language Models
by: Arzaghi', 'Mina, et al.
Published: (2025) -
IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs
by: Carichon, F., et al.
Published: (2026) -
Embedding Cultural Diversity in Prototype-based Recommender Systems
by: Moradi, Armin, et al.
Published: (2024)