Zobrazeno 1 - 10
of 2 165
pro vyhledávání: '"McQuade P"'
Merging in a Bottle: Differentiable Adaptive Merging (DAM) and the Path from Averaging to Automation
Autor:
Gauthier-Caron, Thomas, Siriwardhana, Shamane, Stein, Elliot, Ehghaghi, Malikeh, Goddard, Charles, McQuade, Mark, Solawetz, Jacob, Labonne, Maxime
By merging models, AI systems can combine the distinct strengths of separate language models, achieving a balance between multiple capabilities without requiring substantial retraining. However, the integration process can be intricate due to differe
Externí odkaz:
http://arxiv.org/abs/2410.08371
Autor:
Siriwardhana, Shamane, McQuade, Mark, Gauthier, Thomas, Atkins, Lucas, Neto, Fernando Fernandes, Meyers, Luke, Vij, Anneketh, Odenthal, Tyler, Goddard, Charles, MacCarthy, Mary, Solawetz, Jacob
We conducted extensive experiments on domain adaptation of the Meta-Llama-3-70B-Instruct model on SEC data, exploring its performance on both general and domain-specific benchmarks. Our focus included continual pre-training (CPT) and model merging, a
Externí odkaz:
http://arxiv.org/abs/2406.14971
Autor:
Ameli, Mostafa, Mcquade, Sean, Lee, Jonathan W., Bunting, Matthew, Nice, Matthew, Wang, Han, Barbour, William, Weightman, Ryan, Denaro, Chris, Delorenzo, Ryan, Hornstein, Sharon, Davis, Jon F., Timsit, Dan, Wagner, Riley, Xu, Rita, Mahmood, Malaika, Mahmood, Mikail, Monache, Maria Laura Delle, Seibold, Benjamin, Work, Daniel B., Sprinkle, Jonathan, Piccoli, Benedetto, Bayen, Alexandre M.
Previous controlled experiments on single-lane ring roads have shown that a single partially autonomous vehicle (AV) can effectively mitigate traffic waves. This naturally prompts the question of how these findings can be generalized to field operati
Externí odkaz:
http://arxiv.org/abs/2404.15533
Autor:
Goddard, Charles, Siriwardhana, Shamane, Ehghaghi, Malikeh, Meyers, Luke, Karpukhin, Vlad, Benedict, Brian, McQuade, Mark, Solawetz, Jacob
The rapid expansion of the open-source language model landscape presents an opportunity to merge the competencies of these model checkpoints by combining their parameters. Advances in transfer learning, the process of fine-tuning pretrained models fo
Externí odkaz:
http://arxiv.org/abs/2403.13257
Autor:
Lee, Jonathan W., Wang, Han, Jang, Kathy, Hayat, Amaury, Bunting, Matthew, Alanqary, Arwa, Barbour, William, Fu, Zhe, Gong, Xiaoqian, Gunter, George, Hornstein, Sharon, Kreidieh, Abdul Rahman, Lichtlé, Nathan, Nice, Matthew W., Richardson, William A., Shah, Adit, Vinitsky, Eugene, Wu, Fangyu, Xiang, Shengquan, Almatrudi, Sulaiman, Althukair, Fahd, Bhadani, Rahul, Carpio, Joy, Chekroun, Raphael, Cheng, Eric, Chiri, Maria Teresa, Chou, Fang-Chieh, Delorenzo, Ryan, Gibson, Marsalis, Gloudemans, Derek, Gollakota, Anish, Ji, Junyi, Keimer, Alexander, Khoudari, Nour, Mahmood, Malaika, Mahmood, Mikail, Matin, Hossein Nick Zinat, Mcquade, Sean, Ramadan, Rabie, Urieli, Daniel, Wang, Xia, Wang, Yanbing, Xu, Rita, Yao, Mengsha, You, Yiling, Zachár, Gergely, Zhao, Yibo, Ameli, Mostafa, Baig, Mirza Najamuddin, Bhaskaran, Sarah, Butts, Kenneth, Gowda, Manasi, Janssen, Caroline, Lee, John, Pedersen, Liam, Wagner, Riley, Zhang, Zimo, Zhou, Chang, Work, Daniel B., Seibold, Benjamin, Sprinkle, Jonathan, Piccoli, Benedetto, Monache, Maria Laura Delle, Bayen, Alexandre M.
The CIRCLES project aims to reduce instabilities in traffic flow, which are naturally occurring phenomena due to human driving behavior. These "phantom jams" or "stop-and-go waves,"are a significant source of wasted energy. Toward this goal, the CIRC
Externí odkaz:
http://arxiv.org/abs/2402.17043
Autor:
Riedel, Daniel, Lee, Hope, Herrmann, Jason F., Grzesik, Jakob, Ansari, Vahid, Borit, Jean-Michel, Stokowski, Hubert S., Aghaeimeibodi, Shahriar, Lu, Haiyu, McQuade, Patrick J., Melosh, Nick A., Shen, Zhi-Xun, Safavi-Naeini, Amir H., Vučković, Jelena
On-chip photonic quantum circuits with integrated quantum memories have the potential to radically progress hardware for quantum information processing. In particular, negatively charged group-IV color centers in diamond are promising candidates for
Externí odkaz:
http://arxiv.org/abs/2306.15207
Autor:
Zhang, Tianya Terry, D., Ph., Jin, Peter J., McQuade, Sean T., Bayen, Alexandre, Piccoli, Benedetto
Car-following (CF) algorithms are crucial components of traffic simulations and have been integrated into many production vehicles equipped with Advanced Driving Assistance Systems (ADAS). Insights from the model of car-following behavior help us und
Externí odkaz:
http://arxiv.org/abs/2304.07143
Autor:
Ciaglia, Floriana, Zuppichini, Francesco Saverio, Guerrie, Paul, McQuade, Mark, Solawetz, Jacob
The evaluation of object detection models is usually performed by optimizing a single metric, e.g. mAP, on a fixed set of datasets, e.g. Microsoft COCO and Pascal VOC. Due to image retrieval and annotation costs, these datasets consist largely of ima
Externí odkaz:
http://arxiv.org/abs/2211.13523
Autor:
Hambardzumyan, Sasun, Tuli, Abhinav, Ghukasyan, Levon, Rahman, Fariz, Topchyan, Hrant, Isayan, David, McQuade, Mark, Harutyunyan, Mikayel, Hakobyan, Tatevik, Stranic, Ivo, Buniatyan, Davit
Traditional data lakes provide critical data infrastructure for analytical workloads by enabling time travel, running SQL queries, ingesting data with ACID transactions, and visualizing petabyte-scale datasets on cloud storage. They allow organizatio
Externí odkaz:
http://arxiv.org/abs/2209.10785
Autor:
Kayoko Shioda, Alexander Breskin, Pravara Harati, Allison T. Chamberlain, Toshiaki Komura, Benjamin A. Lopman, Elizabeth T. Rogawski McQuade
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract The optimal interval between the first and second doses of COVID-19 mRNA vaccines has not been thoroughly evaluated. Employing a target trial emulation approach, we compared the effectiveness of different interdose intervals among >6 million
Externí odkaz:
https://doaj.org/article/940663688ba74367baa338129ae5dc4c