Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Shi, Weiyan"'
Large Language Models (LLMs) have demonstrated impressive capabilities in generating coherent text but often struggle with grounding language and strategic dialogue. To address this gap, we focus on journalistic interviews, a domain rich in grounding
Externí odkaz:
http://arxiv.org/abs/2411.13779
Voice assistants, such as Siri and Google Assistant, typically model audio and text separately, resulting in lost speech information and increased complexity. Recent efforts to address this with end-to-end Speech Large Language Models (LLMs) trained
Externí odkaz:
http://arxiv.org/abs/2410.02678
With the rapid development of artificial intelligence technology, especially the increasingly widespread application of question-and-answer systems, high-quality question generation has become a key component in supporting the development of these sy
Externí odkaz:
http://arxiv.org/abs/2409.13994
Autism Spectrum Disorder (ASD) significantly affects the social and communication abilities of children, and eye-tracking is commonly used as a diagnostic tool by identifying associated atypical gaze patterns. Traditional methods demand manual identi
Externí odkaz:
http://arxiv.org/abs/2409.11744
Autor:
Lee, Sangmin, Li, Minzhi, Lai, Bolin, Jia, Wenqi, Ryan, Fiona, Cao, Xu, Kara, Ozgur, Boote, Bikram, Shi, Weiyan, Yang, Diyi, Rehg, James M.
Social interactions form the foundation of human societies. Artificial intelligence has made significant progress in certain areas, but enabling machines to seamlessly understand social interactions remains an open challenge. It is important to addre
Externí odkaz:
http://arxiv.org/abs/2409.15316
As language models (LMs) are widely utilized in personalized communication scenarios (e.g., sending emails, writing social media posts) and endowed with a certain level of agency, ensuring they act in accordance with the contextual privacy norms beco
Externí odkaz:
http://arxiv.org/abs/2409.00138
Autor:
Furumai, Kazuaki, Legaspi, Roberto, Vizcarra, Julio, Yamazaki, Yudai, Nishimura, Yasutaka, Semnani, Sina J., Ikeda, Kazushi, Shi, Weiyan, Lam, Monica S.
Persuasion plays a pivotal role in a wide range of applications from health intervention to the promotion of social good. Persuasive chatbots employed responsibly for social good can be an enabler of positive individual and social change. Existing me
Externí odkaz:
http://arxiv.org/abs/2407.03585
Autor:
Shi, Weiyan, Li, Ryan, Zhang, Yutong, Ziems, Caleb, yu, Chunhua, Horesh, Raya, de Paula, Rogério Abreu, Yang, Diyi
To enhance language models' cultural awareness, we design a generalizable pipeline to construct cultural knowledge bases from different online communities on a massive scale. With the pipeline, we construct CultureBank, a knowledge base built upon us
Externí odkaz:
http://arxiv.org/abs/2404.15238
Autor:
Longpre, Shayne, Kapoor, Sayash, Klyman, Kevin, Ramaswami, Ashwin, Bommasani, Rishi, Blili-Hamelin, Borhane, Huang, Yangsibo, Skowron, Aviya, Yong, Zheng-Xin, Kotha, Suhas, Zeng, Yi, Shi, Weiyan, Yang, Xianjun, Southen, Reid, Robey, Alexander, Chao, Patrick, Yang, Diyi, Jia, Ruoxi, Kang, Daniel, Pentland, Sandy, Narayanan, Arvind, Liang, Percy, Henderson, Peter
Independent evaluation and red teaming are critical for identifying the risks posed by generative AI systems. However, the terms of service and enforcement strategies used by prominent AI companies to deter model misuse have disincentives on good fai
Externí odkaz:
http://arxiv.org/abs/2403.04893
As Natural Language Processing (NLP) systems become increasingly integrated into human social life, these technologies will need to increasingly rely on social intelligence. Although there are many valuable datasets that benchmark isolated dimensions
Externí odkaz:
http://arxiv.org/abs/2403.14659