Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization von Salemi, Alireza, Zamani, Hamed

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Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models von Salemi, Alireza, Zamani, Hamed

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Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models von Salemi, Alireza, Zamani, Hamed

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Evaluating Retrieval Quality in Retrieval-Augmented Generation von Salemi, Alireza, Zamani, Hamed

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Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation von Salemi, Alireza, Kallumadi, Surya, Zamani, Hamed

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Comparative Effectiveness of Cognitive-Behavioral Therapy and Dialectical Behavior Therapy on Emotion Regulation, Positive and Negative Affection, Aggressive and Self-Harm Behavior... von Ghorbani, Sara, Salemi Kameneh, Alireza, Motahedy, Alireza, Alipour, Zahra

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Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization von Salemi, Alireza, Zamani, Hamed

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Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models von Salemi, Alireza, Zamani, Hamed

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Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering von Salemi, Alireza, Rafiee, Mahta, Zamani, Hamed

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Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models von Salemi, Alireza, Zamani, Hamed

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Evaluating Retrieval Quality in Retrieval-Augmented Generation von Salemi, Alireza, Zamani, Hamed

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A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering von Salemi, Alireza, Pizzorno, Juan Altmayer, Zamani, Hamed

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LaMP: When Large Language Models Meet Personalization von Salemi, Alireza, Mysore, Sheshera, Bendersky, Michael, Zamani, Hamed

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PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document Generation von Salemi, Alireza, Abaskohi, Amirhossein, Tavakoli, Sara, Yaghoobzadeh, Yadollah, Shakery, Azadeh

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Accelerating Retrieval-Augmented Generation von Quinn, Derrick, Nouri, Mohammad, Patel, Neel, Salihu, John, Salemi, Alireza, Lee, Sukhan, Zamani, Hamed, Alian, Mohammad

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Retrieval-Enhanced Machine Learning: Synthesis and Opportunities von Kim, To Eun, Salemi, Alireza, Drozdov, Andrew, Diaz, Fernando, Zamani, Hamed

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Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation von Salemi, Alireza, Kallumadi, Surya, Zamani, Hamed

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ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization von Salemi, Alireza, Kebriaei, Emad, Minaei, Ghazal Neisi, Shakery, Azadeh

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UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models von Salemi, Alireza, Sabri, Nazanin, Kebriaei, Emad, Bahrak, Behnam, Shakery, Azadeh

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Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering von Salemi, Alireza, Rafiee, Mahta, Zamani, Hamed

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