Zobrazeno 1 - 10
of 13 293
pro vyhledávání: '"Slack, P."'
Autor:
Hudson, G. Thomas, Slack, Dean, Winterbottom, Thomas, Sterling, Jamie, Xiao, Chenghao, Shentu, Junjie, Moubayed, Noura Al
Multimodal learning, which involves integrating information from various modalities such as text, images, audio, and video, is pivotal for numerous complex tasks like visual question answering, cross-modal retrieval, and caption generation. Tradition
Externí odkaz:
http://arxiv.org/abs/2411.10503
AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations
Autor:
Hartman, Jan, Mehrotra, Rishabh, Sagtani, Hitesh, Cooney, Dominic, Gajdulewicz, Rafal, Liu, Beyang, Tibshirani, Julie, Slack, Quinn
In this work, we discuss a recently popular type of recommender system: an LLM-based coding assistant. Connecting the task of providing code recommendations in multiple formats to traditional RecSys challenges, we outline several similarities and dif
Externí odkaz:
http://arxiv.org/abs/2408.05344
Autor:
Nath, Vaskar, Slack, Dylan, Da, Jeff, Ma, Yuntao, Zhang, Hugh, Whitehead, Spencer, Hendryx, Sean
Techniques that learn improved representations via offline data or self-supervised objectives have shown impressive results in traditional reinforcement learning (RL). Nevertheless, it is unclear how improved representation learning can benefit reinf
Externí odkaz:
http://arxiv.org/abs/2407.13887
Autor:
Winterbottom, Thomas, Hudson, G. Thomas, Kluvanec, Daniel, Slack, Dean, Sterling, Jamie, Shentu, Junjie, Xiao, Chenghao, Zhou, Zheming, Moubayed, Noura Al
Next-frame prediction is a useful and powerful method for modelling and understanding the dynamics of video data. Inspired by the empirical success of causal language modelling and next-token prediction in language modelling, we explore the extent to
Externí odkaz:
http://arxiv.org/abs/2405.17450
Autor:
Zhang, Hugh, Da, Jeff, Lee, Dean, Robinson, Vaughn, Wu, Catherine, Song, Will, Zhao, Tiffany, Raja, Pranav, Zhuang, Charlotte, Slack, Dylan, Lyu, Qin, Hendryx, Sean, Kaplan, Russell, Lunati, Michele, Yue, Summer
Large language models (LLMs) have achieved impressive success on many benchmarks for mathematical reasoning. However, there is growing concern that some of this performance actually reflects dataset contamination, where data closely resembling benchm
Externí odkaz:
http://arxiv.org/abs/2405.00332
Autor:
Sarigai, Sarigai, Yang, Liping, Slack, Katie, Lane, K. Maria D., Buenemann, Michaela, Wu, Qiusheng, Woodhull, Gordon, Driscol, Joshua
We are surrounded by overwhelming big data, which brings substantial advances but meanwhile poses many challenges. Geospatial big data comprises a big portion of big data, and is essential and powerful for decision-making if being utilized strategica
Externí odkaz:
http://arxiv.org/abs/2402.11001
Autor:
Tonin Beatriz Cristina Biz, Castro-Silva Carolina de Sousa, Slack Frank John, Jasiulionis Miriam Galvonas
Publikováno v:
RNA Biology, Vol 21, Iss 1, Pp 1158-1170 (2024)
Long non-coding RNAs (lncRNAs) have received growing attention due to their diverse regulatory roles in cancer, including in melanoma, an aggressive type of skin cancer. The plasticity and phenotypic adaptability of melanoma cells are crucial factors
Externí odkaz:
https://doaj.org/article/e6226fab6642425eb55d54f5d21471f9
Autor:
Bartolo, Michelle A, Taylor-LaPole, Alyssa M, Gandhi, Darsh, Johnson, Alexandria, Li, Yaqi, Slack, Emma, Stevens, Isaiah, Turner, Zachary, Weigand, Justin D, Puelz, Charles, Husmeier, Dirk, Olufsen, Mette S
Patient-specific computational modeling is a popular, non-invasive method to answer medical questions. Medical images are used to extract geometric domains necessary to create these models, providing a predictive tool for clinicians. However, in vivo
Externí odkaz:
http://arxiv.org/abs/2309.08779
Autor:
Cifuentes, Jesus D., Tanttu, Tuomo, Steinacker, Paul, Serrano, Santiago, Hansen, Ingvild, Slack-Smith, James P., Gilbert, Will, Huang, Jonathan Y., Vahapoglu, Ensar, Leon, Ross C. C., Stuyck, Nard Dumoulin, Itoh, Kohei, Abrosimov, Nikolay, Pohl, Hans-Joachim, Thewalt, Michael, Laucht, Arne, Yang, Chih Hwan, Escott, Christopher C., Hudson, Fay E., Lim, Wee Han, Rahman, Rajib, Dzurak, Andrew S., Saraiva, Andre
Quantum processors based on integrated nanoscale silicon spin qubits are a promising platform for highly scalable quantum computation. Current CMOS spin qubit processors consist of dense gate arrays to define the quantum dots, making them susceptible
Externí odkaz:
http://arxiv.org/abs/2309.01849
Autor:
Krishna, Satyapriya, Ma, Jiaqi, Slack, Dylan, Ghandeharioun, Asma, Singh, Sameer, Lakkaraju, Himabindu
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can si
Externí odkaz:
http://arxiv.org/abs/2305.11426