Zobrazeno 1 - 10
of 27 828
pro vyhledávání: '"Summer, A."'
Autor:
Kumar, Priyanshu, Lau, Elaine, Vijayakumar, Saranya, Trinh, Tu, Team, Scale Red, Chang, Elaine, Robinson, Vaughn, Hendryx, Sean, Zhou, Shuyan, Fredrikson, Matt, Yue, Summer, Wang, Zifan
For safety reasons, large language models (LLMs) are trained to refuse harmful user instructions, such as assisting dangerous activities. We study an open question in this work: does the desired safety refusal, typically enforced in chat contexts, ge
Externí odkaz:
http://arxiv.org/abs/2410.13886
Autor:
Fang, Chenhao, Larson, Derek, Zhu, Shitong, Zeng, Sophie, Summer, Wendy, Peng, Yanqing, Hulovatyy, Yuriy, Rao, Rajeev, Forgues, Gabriel, Pudota, Arya, Goncalves, Alex, Robert, Hervé
This paper presents new methods that have the potential to improve privacy process efficiency with LLM and RAG. To reduce hallucination, we continually pre-train the base LLM model with a privacy-specific knowledge base and then augment it with a sem
Externí odkaz:
http://arxiv.org/abs/2410.02825
Autor:
Wang, Evan, Cassano, Federico, Wu, Catherine, Bai, Yunfeng, Song, Will, Nath, Vaskar, Han, Ziwen, Hendryx, Sean, Yue, Summer, Zhang, Hugh
While scaling training compute has led to remarkable improvements in large language models (LLMs), scaling inference compute has not yet yielded analogous gains. We hypothesize that a core missing component is a lack of diverse LLM outputs, leading t
Externí odkaz:
http://arxiv.org/abs/2409.03733
Autor:
Li, Nathaniel, Han, Ziwen, Steneker, Ian, Primack, Willow, Goodside, Riley, Zhang, Hugh, Wang, Zifan, Menghini, Cristina, Yue, Summer
Recent large language model (LLM) defenses have greatly improved models' ability to refuse harmful queries, even when adversarially attacked. However, LLM defenses are primarily evaluated against automated adversarial attacks in a single turn of conv
Externí odkaz:
http://arxiv.org/abs/2408.15221
Riemann numerically approximated at least three zeta zeros. According to Edwards, Riemann even took steps to verify that the lowest zero he computed was indeed the first zeta zero. This approach to verification is developed, improved, and generalized
Externí odkaz:
http://arxiv.org/abs/2408.00187
Autor:
Feng, Hao, Zhang, Boyuan, Ye, Fanjiang, Si, Min, Chu, Ching-Hsiang, Tian, Jiannan, Yin, Chunxing, Deng, Summer, Hao, Yuchen, Balaji, Pavan, Geng, Tong, Tao, Dingwen
DLRM is a state-of-the-art recommendation system model that has gained widespread adoption across various industry applications. The large size of DLRM models, however, necessitates the use of multiple devices/GPUs for efficient training. A significa
Externí odkaz:
http://arxiv.org/abs/2407.04272
Publikováno v:
KDD 2024 ADS track
Precise crop yield predictions are of national importance for ensuring food security and sustainable agricultural practices. While AI-for-science approaches have exhibited promising achievements in solving many scientific problems such as drug discov
Externí odkaz:
http://arxiv.org/abs/2406.06081
Autor:
Zhang, Hugh, Da, Jeff, Lee, Dean, Robinson, Vaughn, Wu, Catherine, Song, Will, Zhao, Tiffany, Raja, Pranav, Slack, Dylan, Lyu, Qin, Hendryx, Sean, Kaplan, Russell, Lunati, Michele, Yue, Summer
Large language models (LLMs) have achieved impressive success on many benchmarks for mathematical reasoning. However, there is growing concern that some of this performance actually reflects dataset contamination, where data closely resembling benchm
Externí odkaz:
http://arxiv.org/abs/2405.00332
Autor:
Johnson, Jacob A., Heaton, Matthew J., Christensen, William F., Warr, Lynsie R., Rupper, Summer B.
Autoencoders are powerful machine learning models used to compress information from multiple data sources. However, autoencoders, like all artificial neural networks, are often unidentifiable and uninterpretable. This research focuses on creating an
Externí odkaz:
http://arxiv.org/abs/2403.07822
A key feature of active galactic nuclei (AGN) is their variability across all wavelengths. Typically, AGN vary by a few tenths of a magnitude or more over periods lasting from hours to years. By contrast, extreme variability of AGN -- large luminosit
Externí odkaz:
http://arxiv.org/abs/2403.05354