Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Huang, Po Sen"'
Autor:
Ghalebikesabi, Sahra, Bagdasaryan, Eugene, Yi, Ren, Yona, Itay, Shumailov, Ilia, Pappu, Aneesh, Shi, Chongyang, Weidinger, Laura, Stanforth, Robert, Berrada, Leonard, Kohli, Pushmeet, Huang, Po-Sen, Balle, Borja
Advanced AI assistants combine frontier LLMs and tool access to autonomously perform complex tasks on behalf of users. While the helpfulness of such assistants can increase dramatically with access to user information including emails and documents,
Externí odkaz:
http://arxiv.org/abs/2408.02373
Autor:
Tanno, Ryutaro, Barrett, David G. T., Sellergren, Andrew, Ghaisas, Sumedh, Dathathri, Sumanth, See, Abigail, Welbl, Johannes, Singhal, Karan, Azizi, Shekoofeh, Tu, Tao, Schaekermann, Mike, May, Rhys, Lee, Roy, Man, SiWai, Ahmed, Zahra, Mahdavi, Sara, Matias, Yossi, Barral, Joelle, Eslami, Ali, Belgrave, Danielle, Natarajan, Vivek, Shetty, Shravya, Kohli, Pushmeet, Huang, Po-Sen, Karthikesalingam, Alan, Ktena, Ira
Radiology reports are an instrumental part of modern medicine, informing key clinical decisions such as diagnosis and treatment. The worldwide shortage of radiologists, however, restricts access to expert care and imposes heavy workloads, contributin
Externí odkaz:
http://arxiv.org/abs/2311.18260
Autor:
Wang, Pengming, Sazanovich, Mikita, Ilbeyi, Berkin, Phothilimthana, Phitchaya Mangpo, Purohit, Manish, Tay, Han Yang, Vũ, Ngân, Wang, Miaosen, Paduraru, Cosmin, Leurent, Edouard, Zhernov, Anton, Huang, Po-Sen, Schrittwieser, Julian, Hubert, Thomas, Tung, Robert, Kurylowicz, Paula, Milan, Kieran, Vinyals, Oriol, Mankowitz, Daniel J.
Resource scheduling and allocation is a critical component of many high impact systems ranging from congestion control to cloud computing. Finding more optimal solutions to these problems often has significant impact on resource and time savings, red
Externí odkaz:
http://arxiv.org/abs/2305.07440
Autor:
Glaese, Amelia, McAleese, Nat, Trębacz, Maja, Aslanides, John, Firoiu, Vlad, Ewalds, Timo, Rauh, Maribeth, Weidinger, Laura, Chadwick, Martin, Thacker, Phoebe, Campbell-Gillingham, Lucy, Uesato, Jonathan, Huang, Po-Sen, Comanescu, Ramona, Yang, Fan, See, Abigail, Dathathri, Sumanth, Greig, Rory, Chen, Charlie, Fritz, Doug, Elias, Jaume Sanchez, Green, Richard, Mokrá, Soňa, Fernando, Nicholas, Wu, Boxi, Foley, Rachel, Young, Susannah, Gabriel, Iason, Isaac, William, Mellor, John, Hassabis, Demis, Kavukcuoglu, Koray, Hendricks, Lisa Anne, Irving, Geoffrey
We present Sparrow, an information-seeking dialogue agent trained to be more helpful, correct, and harmless compared to prompted language model baselines. We use reinforcement learning from human feedback to train our models with two new additions to
Externí odkaz:
http://arxiv.org/abs/2209.14375
Autor:
Rauh, Maribeth, Mellor, John, Uesato, Jonathan, Huang, Po-Sen, Welbl, Johannes, Weidinger, Laura, Dathathri, Sumanth, Glaese, Amelia, Irving, Geoffrey, Gabriel, Iason, Isaac, William, Hendricks, Lisa Anne
Large language models produce human-like text that drive a growing number of applications. However, recent literature and, increasingly, real world observations, have demonstrated that these models can generate language that is toxic, biased, untruth
Externí odkaz:
http://arxiv.org/abs/2206.08325
Autor:
Li, Yujia, Choi, David, Chung, Junyoung, Kushman, Nate, Schrittwieser, Julian, Leblond, Rémi, Eccles, Tom, Keeling, James, Gimeno, Felix, Lago, Agustin Dal, Hubert, Thomas, Choy, Peter, d'Autume, Cyprien de Masson, Babuschkin, Igor, Chen, Xinyun, Huang, Po-Sen, Welbl, Johannes, Gowal, Sven, Cherepanov, Alexey, Molloy, James, Mankowitz, Daniel J., Robson, Esme Sutherland, Kohli, Pushmeet, de Freitas, Nando, Kavukcuoglu, Koray, Vinyals, Oriol
Programming is a powerful and ubiquitous problem-solving tool. Developing systems that can assist programmers or even generate programs independently could make programming more productive and accessible, yet so far incorporating innovations in AI ha
Externí odkaz:
http://arxiv.org/abs/2203.07814
Autor:
Rae, Jack W., Borgeaud, Sebastian, Cai, Trevor, Millican, Katie, Hoffmann, Jordan, Song, Francis, Aslanides, John, Henderson, Sarah, Ring, Roman, Young, Susannah, Rutherford, Eliza, Hennigan, Tom, Menick, Jacob, Cassirer, Albin, Powell, Richard, Driessche, George van den, Hendricks, Lisa Anne, Rauh, Maribeth, Huang, Po-Sen, Glaese, Amelia, Welbl, Johannes, Dathathri, Sumanth, Huang, Saffron, Uesato, Jonathan, Mellor, John, Higgins, Irina, Creswell, Antonia, McAleese, Nat, Wu, Amy, Elsen, Erich, Jayakumar, Siddhant, Buchatskaya, Elena, Budden, David, Sutherland, Esme, Simonyan, Karen, Paganini, Michela, Sifre, Laurent, Martens, Lena, Li, Xiang Lorraine, Kuncoro, Adhiguna, Nematzadeh, Aida, Gribovskaya, Elena, Donato, Domenic, Lazaridou, Angeliki, Mensch, Arthur, Lespiau, Jean-Baptiste, Tsimpoukelli, Maria, Grigorev, Nikolai, Fritz, Doug, Sottiaux, Thibault, Pajarskas, Mantas, Pohlen, Toby, Gong, Zhitao, Toyama, Daniel, d'Autume, Cyprien de Masson, Li, Yujia, Terzi, Tayfun, Mikulik, Vladimir, Babuschkin, Igor, Clark, Aidan, Casas, Diego de Las, Guy, Aurelia, Jones, Chris, Bradbury, James, Johnson, Matthew, Hechtman, Blake, Weidinger, Laura, Gabriel, Iason, Isaac, William, Lockhart, Ed, Osindero, Simon, Rimell, Laura, Dyer, Chris, Vinyals, Oriol, Ayoub, Kareem, Stanway, Jeff, Bennett, Lorrayne, Hassabis, Demis, Kavukcuoglu, Koray, Irving, Geoffrey
Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world. In this paper, we present an analysis of Transformer-based language m
Externí odkaz:
http://arxiv.org/abs/2112.11446
Autor:
Weidinger, Laura, Mellor, John, Rauh, Maribeth, Griffin, Conor, Uesato, Jonathan, Huang, Po-Sen, Cheng, Myra, Glaese, Mia, Balle, Borja, Kasirzadeh, Atoosa, Kenton, Zac, Brown, Sasha, Hawkins, Will, Stepleton, Tom, Biles, Courtney, Birhane, Abeba, Haas, Julia, Rimell, Laura, Hendricks, Lisa Anne, Isaac, William, Legassick, Sean, Irving, Geoffrey, Gabriel, Iason
This paper aims to help structure the risk landscape associated with large-scale Language Models (LMs). In order to foster advances in responsible innovation, an in-depth understanding of the potential risks posed by these models is needed. A wide ra
Externí odkaz:
http://arxiv.org/abs/2112.04359
Autor:
Welbl, Johannes, Glaese, Amelia, Uesato, Jonathan, Dathathri, Sumanth, Mellor, John, Hendricks, Lisa Anne, Anderson, Kirsty, Kohli, Pushmeet, Coppin, Ben, Huang, Po-Sen
Large language models (LM) generate remarkably fluent text and can be efficiently adapted across NLP tasks. Measuring and guaranteeing the quality of generated text in terms of safety is imperative for deploying LMs in the real world; to this end, pr
Externí odkaz:
http://arxiv.org/abs/2109.07445
Autor:
Chang, Wei-Ting, Lin, Chih-Hsien, Lee, Wei-Chieh, Kan, Wei-Chih, Lin, You-Cheng, Hiremath, Pranoti, Cheng, Susan, Liao, Ronglih, Chen, Zhih-Cherng, Huang, Po-Sen, Wu, Nan-Chun
Publikováno v:
In International Journal of Cardiology 1 January 2024 394
