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pro vyhledávání: '"Bramblett, Daniel"'
This paper presents $\forall$uto$\exists$$\lor\!\land$L, a novel benchmark for scaling Large Language Model (LLM) assessment in formal tasks with clear notions of correctness, such as truth maintenance in translation and logical reasoning. $\forall$u
Externí odkaz:
http://arxiv.org/abs/2410.08437
Planning in real-world settings often entails addressing partial observability while aligning with users' preferences. We present a novel framework for expressing users' preferences about agent behavior in a partially observable setting using paramet
Externí odkaz:
http://arxiv.org/abs/2405.15907
$\forall$uto$\exists$val: Autonomous Assessment of LLMs in Formal Synthesis and Interpretation Tasks
This paper presents $\forall$uto$\exists$val, a new approach for scaling LLM assessment in translating formal syntax -- such as first-order logic, regular expressions, etc -- to natural language (interpretation) or vice versa (compilation), thereby f
Externí odkaz:
http://arxiv.org/abs/2403.18327
Autor:
BRAMBLETT, DANIEL R., BUGEJA, MICHAEL
Publikováno v:
Coin World. 3/12/2018, Vol. 59 Issue 3022, p15-15. 1/2p.
