RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation von Fleischer, Daniel, Berchansky, Moshe, Wasserblat, Moshe, Izsak, Peter

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REDUCTION OF LATENCY IN RETRIEVER-READER ARCHITECTURES von Berchansky, Moshe, Izsak, Peter

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CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity von Berchansky, Moshe, Fleischer, Daniel, Wasserblat, Moshe, Izsak, Peter

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Optimizing Retrieval-augmented Reader Models via Token Elimination von Berchansky, Moshe, Izsak, Peter, Caciularu, Avi, Dagan, Ido, Wasserblat, Moshe

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HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly von Yen, Howard, Gao, Tianyu, Hou, Minmin, Ding, Ke, Fleischer, Daniel, Izsak, Peter, Wasserblat, Moshe, Chen, Danqi

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How to Train BERT with an Academic Budget von Izsak, Peter, Berchansky, Moshe, Levy, Omer

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Transformer Language Models without Positional Encodings Still Learn Positional Information von Haviv, Adi, Ram, Ori, Press, Ofir, Izsak, Peter, Levy, Omer

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Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models von Izsak, Peter, Guskin, Shira, Wasserblat, Moshe

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CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity von Berchansky, Moshe, Fleischer, Daniel, Wasserblat, Moshe, Izsak, Peter

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RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation von Fleischer, Daniel, Berchansky, Moshe, Wasserblat, Moshe, Izsak, Peter

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Optimizing Retrieval-augmented Reader Models via Token Elimination von Berchansky, Moshe, Izsak, Peter, Caciularu, Avi, Dagan, Ido, Wasserblat, Moshe

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Q8BERT: Quantized 8Bit BERT von Zafrir, Ofir, Boudoukh, Guy, Izsak, Peter, Wasserblat, Moshe

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How to Train BERT with an Academic Budget von Izsak, Peter, Berchansky, Moshe, Levy, Omer

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HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly von Yen, Howard, Gao, Tianyu, Hou, Minmin, Ding, Ke, Fleischer, Daniel, Izsak, Peter, Wasserblat, Moshe, Chen, Danqi

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Transformer Language Models without Positional Encodings Still Learn Positional Information von Haviv, Adi, Ram, Ori, Press, Ofir, Izsak, Peter, Levy, Omer

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Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models von Izsak, Peter, Guskin, Shira, Wasserblat, Moshe

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Term Set Expansion based NLP Architect by Intel AI Lab von Mamou, Jonathan, Pereg, Oren, Wasserblat, Moshe, Eirew, Alon, Green, Yael, Guskin, Shira, Izsak, Peter, Korat, Daniel

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System and method for text normalization in noisy channels von Shafran, Victor, Achlow, Inna, Weisman, Hila, Izsak, Peter

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Determination of prominent phrases in multi-channel interactions by multi-feature evaluations von Shafran, Victor, Weisman, Hila, Izsak, Peter

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Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow von Mamou, Jonathan, Pereg, Oren, Wasserblat, Moshe, Dagan, Ido, Goldberg, Yoav, Eirew, Alon, Green, Yael, Guskin, Shira, Izsak, Peter, Korat, Daniel

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