Zobrazeno 1 - 10
of 448
pro vyhledávání: '"White, Ryen"'
Autor:
Shah, Chirag, White, Ryen W.
The emergence of generative artificial intelligence (GenAI) is transforming information interaction. For decades, search engines such as Google and Bing have been the primary means of locating relevant information for the general population. They hav
Externí odkaz:
http://arxiv.org/abs/2405.12923
Autor:
Suri, Siddharth, Counts, Scott, Wang, Leijie, Chen, Chacha, Wan, Mengting, Safavi, Tara, Neville, Jennifer, Shah, Chirag, White, Ryen W., Andersen, Reid, Buscher, Georg, Manivannan, Sathish, Rangan, Nagu, Yang, Longqi
Until recently, search engines were the predominant method for people to access online information. The recent emergence of large language models (LLMs) has given machines new capabilities such as the ability to generate new digital artifacts like te
Externí odkaz:
http://arxiv.org/abs/2404.04268
Autor:
Wan, Mengting, Safavi, Tara, Jauhar, Sujay Kumar, Kim, Yujin, Counts, Scott, Neville, Jennifer, Suri, Siddharth, Shah, Chirag, White, Ryen W, Yang, Longqi, Andersen, Reid, Buscher, Georg, Joshi, Dhruv, Rangan, Nagu
Transforming unstructured text into structured and meaningful forms, organized by useful category labels, is a fundamental step in text mining for downstream analysis and application. However, most existing methods for producing label taxonomies and
Externí odkaz:
http://arxiv.org/abs/2403.12173
Autor:
White, Ryen W.1 (AUTHOR) ryenwhite@gmail.com
Publikováno v:
Communications of the ACM. Sep2024, Vol. 67 Issue 9, p54-65. 12p.
Autor:
White, Ryen W.
As many of us in the information retrieval (IR) research community know and appreciate, search is far from being a solved problem. Millions of people struggle with tasks on search engines every day. Often, their struggles relate to the intrinsic comp
Externí odkaz:
http://arxiv.org/abs/2311.01235
Although large language models (LLMs) have advanced the state-of-the-art in NLP significantly, deploying them for downstream applications is still challenging due to cost, responsiveness, control, or concerns around privacy and security. As such, tra
Externí odkaz:
http://arxiv.org/abs/2310.20111
Autor:
Shah, Chirag, White, Ryen W., Andersen, Reid, Buscher, Georg, Counts, Scott, Das, Sarkar Snigdha Sarathi, Montazer, Ali, Manivannan, Sathish, Neville, Jennifer, Ni, Xiaochuan, Rangan, Nagu, Safavi, Tara, Suri, Siddharth, Wan, Mengting, Wang, Leijie, Yang, Longqi
Log data can reveal valuable information about how users interact with Web search services, what they want, and how satisfied they are. However, analyzing user intents in log data is not easy, especially for emerging forms of Web search such as AI-dr
Externí odkaz:
http://arxiv.org/abs/2309.13063
Autor:
Gligoric, Kristina, Chiolero, Arnaud, Kıcıman, Emre, White, Ryen W., Horvitz, Eric, West, Robert
Social influence is a strong determinant of food consumption, which in turn influences health. Although consistent observations have been made on the role of social factors in driving similarities in food consumption, much less is known about the pre
Externí odkaz:
http://arxiv.org/abs/2308.16095
Autor:
Wu, Qingyun, Bansal, Gagan, Zhang, Jieyu, Wu, Yiran, Li, Beibin, Zhu, Erkang, Jiang, Li, Zhang, Xiaoyun, Zhang, Shaokun, Liu, Jiale, Awadallah, Ahmed Hassan, White, Ryen W, Burger, Doug, Wang, Chi
AutoGen is an open-source framework that allows developers to build LLM applications via multiple agents that can converse with each other to accomplish tasks. AutoGen agents are customizable, conversable, and can operate in various modes that employ
Externí odkaz:
http://arxiv.org/abs/2308.08155