Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Zhi‐Xuan Tan"'
The space of human goals is tremendously vast; and yet, from just a few moments of watching a scene or reading a story, we seem to spontaneously infer a range of plausible motivations for the people and characters involved. What explains this remarka
Externí odkaz:
http://arxiv.org/abs/2407.16770
Autor:
Collins, Katherine M., Sucholutsky, Ilia, Bhatt, Umang, Chandra, Kartik, Wong, Lionel, Lee, Mina, Zhang, Cedegao E., Zhi-Xuan, Tan, Ho, Mark, Mansinghka, Vikash, Weller, Adrian, Tenenbaum, Joshua B., Griffiths, Thomas L.
What do we want from machine intelligence? We envision machines that are not just tools for thought, but partners in thought: reasonable, insightful, knowledgeable, reliable, and trustworthy systems that think with us. Current artificial intelligence
Externí odkaz:
http://arxiv.org/abs/2408.03943
Autor:
Dalrymple, David "davidad", Skalse, Joar, Bengio, Yoshua, Russell, Stuart, Tegmark, Max, Seshia, Sanjit, Omohundro, Steve, Szegedy, Christian, Goldhaber, Ben, Ammann, Nora, Abate, Alessandro, Halpern, Joe, Barrett, Clark, Zhao, Ding, Zhi-Xuan, Tan, Wing, Jeannette, Tenenbaum, Joshua
Ensuring that AI systems reliably and robustly avoid harmful or dangerous behaviours is a crucial challenge, especially for AI systems with a high degree of autonomy and general intelligence, or systems used in safety-critical contexts. In this paper
Externí odkaz:
http://arxiv.org/abs/2405.06624
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning
People often give instructions whose meaning is ambiguous without further context, expecting that their actions or goals will disambiguate their intentions. How can we build assistive agents that follow such instructions in a flexible, context-sensit
Externí odkaz:
http://arxiv.org/abs/2402.17930
Autor:
Oldenburg, Ninell, Zhi-Xuan, Tan
A universal feature of human societies is the adoption of systems of rules and norms in the service of cooperative ends. How can we build learning agents that do the same, so that they may flexibly cooperate with the human institutions they are embed
Externí odkaz:
http://arxiv.org/abs/2402.13399
Despite the fact that beliefs are mental states that cannot be directly observed, humans talk about each others' beliefs on a regular basis, often using rich compositional language to describe what others think and know. What explains this capacity t
Externí odkaz:
http://arxiv.org/abs/2402.10416
Publikováno v:
Advanced Science, Vol 7, Iss 3, Pp n/a-n/a (2020)
Abstract Many predators produce dormant offspring to escape harsh environmental conditions, but the evolutionary stability of this adaptation has not been fully explored. Like seed banks in plants, dormancy provides a stable competitive advantage whe
Externí odkaz:
https://doaj.org/article/d9f282da2a32410f8506d8fd82659767
When humans cooperate, they frequently coordinate their activity through both verbal communication and non-verbal actions, using this information to infer a shared goal and plan. How can we model this inferential ability? In this paper, we introduce
Externí odkaz:
http://arxiv.org/abs/2306.16207
Autor:
Ying, Lance, Collins, Katherine M., Wei, Megan, Zhang, Cedegao E., Zhi-Xuan, Tan, Weller, Adrian, Tenenbaum, Joshua B., Wong, Lionel
Human beings are social creatures. We routinely reason about other agents, and a crucial component of this social reasoning is inferring people's goals as we learn about their actions. In many settings, we can perform intuitive but reliable goal infe
Externí odkaz:
http://arxiv.org/abs/2306.14325
Even after fine-tuning and reinforcement learning, large language models (LLMs) can be difficult, if not impossible, to control reliably with prompts alone. We propose a new inference-time approach to enforcing syntactic and semantic constraints on t
Externí odkaz:
http://arxiv.org/abs/2306.03081