Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Vaduguru, Saujas"'
The usage of Rational Speech Acts (RSA) framework has been successful in building \emph{pragmatic} program synthesizers that return programs which, in addition to being logically consistent with user-generated examples, account for the fact that a us
Externí odkaz:
http://arxiv.org/abs/2407.02499
Humans often express their communicative intents indirectly or non-literally, which requires their interlocutors -- human or AI -- to understand beyond the literal meaning of words. While most existing work has focused on discriminative evaluations,
Externí odkaz:
http://arxiv.org/abs/2405.08760
Programming-by-example is the task of synthesizing a program that is consistent with a set of user-provided input-output examples. As examples are often an under-specification of one's intent, a good synthesizer must choose the intended program from
Externí odkaz:
http://arxiv.org/abs/2311.05740
Autor:
Chiu, Justin T., Zhao, Wenting, Chen, Derek, Vaduguru, Saujas, Rush, Alexander M., Fried, Daniel
Large language models (LLMs) excel at processing and generating both text and code. However, LLMs have had limited applicability in grounded task-oriented dialogue as they are difficult to steer toward task objectives and fail to handle novel groundi
Externí odkaz:
http://arxiv.org/abs/2310.17140
In program synthesis, an intelligent system takes in a set of user-generated examples and returns a program that is logically consistent with these examples. The usage of Rational Speech Acts (RSA) framework has been successful in building \emph{prag
Externí odkaz:
http://arxiv.org/abs/2309.03225
Providing examples is one of the most common way for end-users to interact with program synthesizers. However, program synthesis systems assume that examples consistent with the program are chosen at random, and do not exploit the fact that users cho
Externí odkaz:
http://arxiv.org/abs/2204.02495
Neural models excel at extracting statistical patterns from large amounts of data, but struggle to learn patterns or reason about language from only a few examples. In this paper, we ask: Can we learn explicit rules that generalize well from only a f
Externí odkaz:
http://arxiv.org/abs/2106.06566