Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Pham, Chau Minh"'
AI-powered chatbots (ChatGPT, Claude, etc.) require users to create an account using their email and phone number, thereby linking their personally identifiable information to their conversational data and usage patterns. As these chatbots are increa
Externí odkaz:
http://arxiv.org/abs/2407.08792
Autor:
Dhanania, Garima, Mysore, Sheshera, Pham, Chau Minh, Iyyer, Mohit, Zamani, Hamed, McCallum, Andrew
Topic models are widely used to analyze document collections. While they are valuable for discovering latent topics in a corpus when analysts are unfamiliar with the corpus, analysts also commonly start with an understanding of the content present in
Externí odkaz:
http://arxiv.org/abs/2406.19928
Existing research on instruction following largely focuses on tasks with simple instructions and short responses. In this work, we explore multi-constraint instruction following for generating long-form text. We create Suri, a dataset with 20K human-
Externí odkaz:
http://arxiv.org/abs/2406.19371
Topic modeling is a well-established technique for exploring text corpora. Conventional topic models (e.g., LDA) represent topics as bags of words that often require "reading the tea leaves" to interpret; additionally, they offer users minimal contro
Externí odkaz:
http://arxiv.org/abs/2311.01449
Autor:
Buçinca, Zana, Pham, Chau Minh, Jakesch, Maurice, Ribeiro, Marco Tulio, Olteanu, Alexandra, Amershi, Saleema
While demands for change and accountability for harmful AI consequences mount, foreseeing the downstream effects of deploying AI systems remains a challenging task. We developed AHA! (Anticipating Harms of AI), a generative framework to assist AI pra
Externí odkaz:
http://arxiv.org/abs/2306.03280
Autor:
Nguyen, Hien Thu Thi, Hoang, Tung Thanh, Pham, Chau Minh, Nguyen, Thao Manh, Dang, Trung M, Fricke, Timothy R
Publikováno v:
Clinical & Experimental Optometry; May2023, Vol. 106 Issue 4, p427-430, 4p