Zobrazeno 1 - 10
of 106
pro vyhledávání: '"HEAD, ANDREW"'
Autor:
Deitke, Matt, Clark, Christopher, Lee, Sangho, Tripathi, Rohun, Yang, Yue, Park, Jae Sung, Salehi, Mohammadreza, Muennighoff, Niklas, Lo, Kyle, Soldaini, Luca, Lu, Jiasen, Anderson, Taira, Bransom, Erin, Ehsani, Kiana, Ngo, Huong, Chen, YenSung, Patel, Ajay, Yatskar, Mark, Callison-Burch, Chris, Head, Andrew, Hendrix, Rose, Bastani, Favyen, VanderBilt, Eli, Lambert, Nathan, Chou, Yvonne, Chheda, Arnavi, Sparks, Jenna, Skjonsberg, Sam, Schmitz, Michael, Sarnat, Aaron, Bischoff, Byron, Walsh, Pete, Newell, Chris, Wolters, Piper, Gupta, Tanmay, Zeng, Kuo-Hao, Borchardt, Jon, Groeneveld, Dirk, Nam, Crystal, Lebrecht, Sophie, Wittlif, Caitlin, Schoenick, Carissa, Michel, Oscar, Krishna, Ranjay, Weihs, Luca, Smith, Noah A., Hajishirzi, Hannaneh, Girshick, Ross, Farhadi, Ali, Kembhavi, Aniruddha
Today's most advanced vision-language models (VLMs) remain proprietary. The strongest open-weight models rely heavily on synthetic data from proprietary VLMs to achieve good performance, effectively distilling these closed VLMs into open ones. As a r
Externí odkaz:
http://arxiv.org/abs/2409.17146
As AI-generated summaries proliferate, how can we help people understand the veracity of those summaries? In this short paper, we design a simple interaction primitive, traceable text, to support critical examination of generated summaries and the so
Externí odkaz:
http://arxiv.org/abs/2409.13099
Programming assistants have reshaped the experience of programming into one where programmers spend less time writing and more time critically examining code. In this paper, we explore how programming assistants can be extended to accelerate the insp
Externí odkaz:
http://arxiv.org/abs/2403.02491
GPT-Vision has impressed us on a range of vision-language tasks, but it comes with the familiar new challenge: we have little idea of its capabilities and limitations. In our study, we formalize a process that many have instinctively been trying alre
Externí odkaz:
http://arxiv.org/abs/2311.02069
Publikováno v:
AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE) 2023
The role of a Dungeon Master, or DM, in the game Dungeons & Dragons is to perform multiple tasks simultaneously. The DM must digest information about the game setting and monsters, synthesize scenes to present to other players, and respond to the pla
Externí odkaz:
http://arxiv.org/abs/2308.07540
Voice assistants have sharply risen in popularity in recent years, but their use has been limited mostly to simple applications like music, hands-free search, or control of internet-of-things devices. What would it take for voice assistants to guide
Externí odkaz:
http://arxiv.org/abs/2306.09992
Mathematical symbol definition extraction is important for improving scholarly reading interfaces and scholarly information extraction (IE). However, the task poses several challenges: math symbols are difficult to process as they are not composed of
Externí odkaz:
http://arxiv.org/abs/2305.14660
Autor:
Lo, Kyle, Chang, Joseph Chee, Head, Andrew, Bragg, Jonathan, Zhang, Amy X., Trier, Cassidy, Anastasiades, Chloe, August, Tal, Authur, Russell, Bragg, Danielle, Bransom, Erin, Cachola, Isabel, Candra, Stefan, Chandrasekhar, Yoganand, Chen, Yen-Sung, Cheng, Evie Yu-Yen, Chou, Yvonne, Downey, Doug, Evans, Rob, Fok, Raymond, Hu, Fangzhou, Huff, Regan, Kang, Dongyeop, Kim, Tae Soo, Kinney, Rodney, Kittur, Aniket, Kang, Hyeonsu, Klevak, Egor, Kuehl, Bailey, Langan, Michael, Latzke, Matt, Lochner, Jaron, MacMillan, Kelsey, Marsh, Eric, Murray, Tyler, Naik, Aakanksha, Nguyen, Ngoc-Uyen, Palani, Srishti, Park, Soya, Paulic, Caroline, Rachatasumrit, Napol, Rao, Smita, Sayre, Paul, Shen, Zejiang, Siangliulue, Pao, Soldaini, Luca, Tran, Huy, van Zuylen, Madeleine, Wang, Lucy Lu, Wilhelm, Christopher, Wu, Caroline, Yang, Jiangjiang, Zamarron, Angele, Hearst, Marti A., Weld, Daniel S.
Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature grows, the need for new technology to support the reading process grow
Externí odkaz:
http://arxiv.org/abs/2303.14334
Autor:
Chang, Joseph Chee, Zhang, Amy X., Bragg, Jonathan, Head, Andrew, Lo, Kyle, Downey, Doug, Weld, Daniel S.
When reading a scholarly article, inline citations help researchers contextualize the current article and discover relevant prior work. However, it can be challenging to prioritize and make sense of the hundreds of citations encountered during litera
Externí odkaz:
http://arxiv.org/abs/2302.07302
Autor:
Fok, Raymond, Kambhamettu, Hita, Soldaini, Luca, Bragg, Jonathan, Lo, Kyle, Head, Andrew, Hearst, Marti A., Weld, Daniel S.
Researchers need to keep up with immense literatures, though it is time-consuming and difficult to do so. In this paper, we investigate the role that intelligent interfaces can play in helping researchers skim papers, that is, rapidly reviewing a pap
Externí odkaz:
http://arxiv.org/abs/2205.04561