Zobrazeno 1 - 10
of 31
pro vyhledávání: '"SAFAVI, TARA"'
Workplace social media platforms enable employees to cultivate their professional image and connect with colleagues in a semi-formal environment. While semi-formal corporate communication poses a unique set of challenges, large language models (LLMs)
Externí odkaz:
http://arxiv.org/abs/2405.04656
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:
Lin, Ying-Chun, Neville, Jennifer, Stokes, Jack W., Yang, Longqi, Safavi, Tara, Wan, Mengting, Counts, Scott, Suri, Siddharth, Andersen, Reid, Xu, Xiaofeng, Gupta, Deepak, Jauhar, Sujay Kumar, Song, Xia, Buscher, Georg, Tiwary, Saurabh, Hecht, Brent, Teevan, Jaime
Accurate and interpretable user satisfaction estimation (USE) is critical for understanding, evaluating, and continuously improving conversational systems. Users express their satisfaction or dissatisfaction with diverse conversational patterns in bo
Externí odkaz:
http://arxiv.org/abs/2403.12388
Autor:
Mysore, Sheshera, Lu, Zhuoran, Wan, Mengting, Yang, Longqi, Menezes, Steve, Baghaee, Tina, Gonzalez, Emmanuel Barajas, Neville, Jennifer, Safavi, Tara
Powerful large language models have facilitated the development of writing assistants that promise to significantly improve the quality and efficiency of composition and communication. However, a barrier to effective assistance is the lack of persona
Externí odkaz:
http://arxiv.org/abs/2311.09180
Autor:
Das, Sarkar Snigdha Sarathi, Shah, Chirag, Wan, Mengting, Neville, Jennifer, Yang, Longqi, Andersen, Reid, Buscher, Georg, Safavi, Tara
The traditional Dialogue State Tracking (DST) problem aims to track user preferences and intents in user-agent conversations. While sufficient for task-oriented dialogue systems supporting narrow domain applications, the advent of Large Language Mode
Externí odkaz:
http://arxiv.org/abs/2309.08827
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
Knowledge graph (KG) link prediction is a fundamental task in artificial intelligence, with applications in natural language processing, information retrieval, and biomedicine. Recently, promising results have been achieved by leveraging cross-modal
Externí odkaz:
http://arxiv.org/abs/2205.08012
Autor:
Safavi, Tara, Koutra, Danai
Relational knowledge bases (KBs) are commonly used to represent world knowledge in machines. However, while advantageous for their high degree of precision and interpretability, KBs are usually organized according to manually-defined schemas, which l
Externí odkaz:
http://arxiv.org/abs/2104.05837
Codifying commonsense knowledge in machines is a longstanding goal of artificial intelligence. Recently, much progress toward this goal has been made with automatic knowledge base (KB) construction techniques. However, such techniques focus primarily
Externí odkaz:
http://arxiv.org/abs/2011.07497