Scalable Data Ablation Approximations for Language Models through Modular Training and Merging von Na, Clara, Magnusson, Ian, Ananya Harsh Jha, Sherborne, Tom, Strubell, Emma, Dodge, Jesse, Dasigi, Pradeep

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Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders von Jha, Ananya Harsh, Anand, Saket, Singh, Maneesh, Veeravasarapu, VSR

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Just CHOP: Embarrassingly Simple LLM Compression von Jha, Ananya Harsh, Sherborne, Tom, Walsh, Evan Pete, Groeneveld, Dirk, Strubell, Emma, Beltagy, Iz

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AASAE: Augmentation-Augmented Stochastic Autoencoders von Falcon, William, Jha, Ananya Harsh, Koker, Teddy, Cho, Kyunghyun

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Establishing Task Scaling Laws via Compute-Efficient Model Ladders von Bhagia, Akshita, Liu, Jiacheng, Wettig, Alexander, Heineman, David, Tafjord, Oyvind, Jha, Ananya Harsh, Soldaini, Luca, Smith, Noah A, Groeneveld, Dirk, Koh, Pang Wei, Dodge, Jesse, Hajishirzi, Hannaneh

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Paloma: A Benchmark for Evaluating Language Model Fit von Magnusson, Ian, Bhagia, Akshita, Hofmann, Valentin, Soldaini, Luca, Jha, Ananya Harsh, Tafjord, Oyvind, Schwenk, Dustin, Walsh, Evan Pete, Elazar, Yanai, Lo, Kyle, Groeneveld, Dirk, Beltagy, Iz, Hajishirzi, Hannaneh, Smith, Noah A, Richardson, Kyle, Dodge, Jesse

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Just CHOP: Embarrassingly Simple LLM Compression von Ananya Harsh Jha, Sherborne, Tom, Walsh, Evan Pete, Groeneveld, Dirk, Strubell, Emma, Beltagy, Iz

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Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research von Soldaini, Luca, Kinney, Rodney, Bhagia, Akshita, Schwenk, Dustin, Atkinson, David, Authur, Russell, Bogin, Ben, Chandu, Khyathi, Dumas, Jennifer, Elazar, Yanai, Hofmann, Valentin, Jha, Ananya Harsh, Kumar, Sachin, Lucy, Li, Lyu, Xinxi, Lambert, Nathan, Magnusson, Ian, Morrison, Jacob, Muennighoff, Niklas, Naik, Aakanksha, Nam, Crystal, Peters, Matthew E, Ravichander, Abhilasha, Richardson, Kyle, Shen, Zejiang, Strubell, Emma, Subramani, Nishant, Tafjord, Oyvind, Walsh, Pete, Zettlemoyer, Luke, Smith, Noah A, Hajishirzi, Hannaneh, Beltagy, Iz, Groeneveld, Dirk, Dodge, Jesse, Lo, Kyle

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AASAE: Augmentation-Augmented Stochastic Autoencoders von Falcon, William, Ananya Harsh Jha, Koker, Teddy, Cho, Kyunghyun

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OLMo: Accelerating the Science of Language Models von Groeneveld, Dirk, Beltagy, Iz, Walsh, Pete, Bhagia, Akshita, Kinney, Rodney, Tafjord, Oyvind, Jha, Ananya Harsh, Ivison, Hamish, Magnusson, Ian, Wang, Yizhong, Arora, Shane, Atkinson, David, Authur, Russell, Chandu, Khyathi Raghavi, Cohan, Arman, Dumas, Jennifer, Elazar, Yanai, Gu, Yuling, Hessel, Jack, Khot, Tushar, Merrill, William, Morrison, Jacob, Muennighoff, Niklas, Naik, Aakanksha, Nam, Crystal, Peters, Matthew E, Pyatkin, Valentina, Ravichander, Abhilasha, Schwenk, Dustin, Shah, Saurabh, Smith, Will, Strubell, Emma, Subramani, Nishant, Wortsman, Mitchell, Dasigi, Pradeep, Lambert, Nathan, Richardson, Kyle, Zettlemoyer, Luke, Dodge, Jesse, Lo, Kyle, Soldaini, Luca, Smith, Noah A, Hajishirzi, Hannaneh

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Establishing Task Scaling Laws via Compute-Efficient Model Ladders von Bhagia, Akshita, Liu, Jiacheng, Wettig, Alexander, Heineman, David, Tafjord, Oyvind, Ananya Harsh Jha, Soldaini, Luca, Smith, Noah A, Groeneveld, Dirk, Pang Wei Koh, Dodge, Jesse, Hannaneh Hajishirzi

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Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders von Jha, Ananya Harsh, Anand, Saket, Singh, Maneesh, Veeravasarapu, V. S. R

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Paloma: A Benchmark for Evaluating Language Model Fit von Magnusson, Ian, Bhagia, Akshita, Hofmann, Valentin, Soldaini, Luca, Ananya Harsh Jha, Tafjord, Oyvind, Schwenk, Dustin, Walsh, Evan Pete, Yanai Elazar, Lo, Kyle, Groeneveld, Dirk, Beltagy, Iz, Hannaneh Hajishirzi, Smith, Noah A, Richardson, Kyle, Dodge, Jesse

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Systems and Methods for Disentangling Factors of Variation in Computer Vision Systems Using Cycle-Consistent Variational Auto-Encoders von Singh, Maneesh Kumar, Anand, Saket, Veeravarasapu, Venkata Subbarao, Jha, Ananya Harsh

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Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research von Soldaini, Luca, Kinney, Rodney, Bhagia, Akshita, Schwenk, Dustin, Atkinson, David, Russell Authur, Bogin, Ben, Khyathi Chandu, Dumas, Jennifer, Yanai Elazar, Hofmann, Valentin, Ananya Harsh Jha, Kumar, Sachin, Li, Lucy, Lyu, Xinxi, Lambert, Nathan, Magnusson, Ian, Morrison, Jacob, Muennighoff, Niklas, Naik, Aakanksha, Nam, Crystal, Peters, Matthew E, Ravichander, Abhilasha, Richardson, Kyle, Shen, Zejiang, Strubell, Emma, Subramani, Nishant, Tafjord, Oyvind, Walsh, Pete, Zettlemoyer, Luke, Smith, Noah A, Hannaneh Hajishirzi, Beltagy, Iz, Groeneveld, Dirk, Dodge, Jesse, Lo, Kyle

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OLMo: Accelerating the Science of Language Models von Groeneveld, Dirk, Beltagy, Iz, Walsh, Pete, Bhagia, Akshita, Kinney, Rodney, Tafjord, Oyvind, Ananya Harsh Jha, Ivison, Hamish, Magnusson, Ian, Wang, Yizhong, Arora, Shane, Atkinson, David, Russell Authur, Khyathi, Raghavi Chandu, Cohan, Arman, Dumas, Jennifer, Yanai Elazar, Gu, Yuling, Hessel, Jack, Khot, Tushar, Merrill, William, Morrison, Jacob, Muennighoff, Niklas, Naik, Aakanksha, Nam, Crystal, Peters, Matthew E, Pyatkin, Valentina, Ravichander, Abhilasha, Schwenk, Dustin, Shah, Saurabh, Smith, Will, Strubell, Emma, Subramani, Nishant, Wortsman, Mitchell, Dasigi, Pradeep, Lambert, Nathan, Richardson, Kyle, Zettlemoyer, Luke, Dodge, Jesse, Lo, Kyle, Soldaini, Luca, Smith, Noah A, Hannaneh Hajishirzi

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Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders von Ananya Harsh Jha, Saket Anand, Singh, Maneesh, Veeravasarapu, V S R

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