Bellwethers of Change: Population Modelling of North Pacific Humpback Whales from 2002 Through 2021 Reveals Shift from Recovery to Climate Response
ROYAL SOCIETY OPEN SCIENCE(2024)
Southern Cross Univ | Oregon State Univ | BALYENA ORG | Whales Guerrero | Univ Hawaii Manoa | Marine Educ & Res Soc | Univ Guadalajara | NOAA Fisheries | Pacific Wildlife Fdn Canada | Cascadia Res Collect | Keiki Kohola Project | Univ Alaska Southeast | Pacific Whale Fdn | Assoc ELI S | Pacific Biol Stn | Ocean Wise | Univ Southern Denmark | Hawaiian Isl Humpback Whale Natl Marine Sanctuary | Ecol & Conservac Ballenas AC | Hawaii Marine Mammal Consortium | Eye Whale Marine Mammal Res | VE Enterprises | Univ Autonoma Baja Calif | Whale Trust | Okinawa Churashima Fdn | Ctr Whale Res | FGBU Gosudarstvennyj Zapovednik Komandorskij | Univ Autonoma Baja Calif Sur | Alaska Fisheries Sci Ctr | North Gulf Ocean Soc | Glacier Bay Natl Pk & Preserve | Happywhale | Univ Colima | Univ Hawaii | Emmanuel Coll | Murdoch Univ | Univ Calif Davis | Humpback Whales Salish Sea | Int Whaling Commiss | Alaska Whale Fdn | Juneau Flukes | Russian Acad Sci | Winged Whale Res | Univ Alaska Fairbanks | North Coast Cetacean Soc | Seastar Sci
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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