Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rangreji, Sanketh"'
Autor:
Su, Zhe, Zhou, Xuhui, Rangreji, Sanketh, Kabra, Anubha, Mendelsohn, Julia, Brahman, Faeze, Sap, Maarten
To be safely and successfully deployed, LLMs must simultaneously satisfy truthfulness and utility goals. Yet, often these two goals compete (e.g., an AI agent assisting a used car salesman selling a car with flaws), partly due to ambiguous or mislead
Externí odkaz:
http://arxiv.org/abs/2409.09013
Prior work shows that program-aided reasoning, in which large language models (LLMs) are combined with programs written in programming languages such as Python, can significantly improve accuracy on various reasoning tasks. However, while accuracy is
Externí odkaz:
http://arxiv.org/abs/2311.09553
Autor:
Stepputtis, Simon, Campbell, Joseph, Xie, Yaqi, Qi, Zhengyang, Zhang, Wenxin Sharon, Wang, Ruiyi, Rangreji, Sanketh, Lewis, Michael, Sycara, Katia
Deception and persuasion play a critical role in long-horizon dialogues between multiple parties, especially when the interests, goals, and motivations of the participants are not aligned. Such complex tasks pose challenges for current Large Language
Externí odkaz:
http://arxiv.org/abs/2311.05720
Autor:
Mathur, Yash, Rangreji, Sanketh, Kapoor, Raghav, Palavalli, Medha, Bertsch, Amanda, Gormley, Matthew R.
Medical dialogue summarization is challenging due to the unstructured nature of medical conversations, the use of medical terminology in gold summaries, and the need to identify key information across multiple symptom sets. We present a novel system
Externí odkaz:
http://arxiv.org/abs/2306.17384