2 papers
cs.LG2025
Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value
Joe Edelman, Tan Zhi-Xuan, Ryan Lowe +30
Beneficial societal outcomes cannot be guaranteed by aligning individual AI systems with the intentions of their operators or users. Even an AI system that is perfectly aligned to…
cs.CL2024
Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions
Michael J. Q. Zhang, W. Bradley Knox, Eunsol Choi
Large language models (LLMs) must often respond to highly ambiguous user requests. In such cases, the LLM's best response may be to ask a clarifying question to elicit more informa…