Large language models (LLMs) have shown promise in proving formal theorems using proof
assistants such as Lean. However, existing methods are difficult to reproduce or build on …

A rigorous formalization of desired system requirements is indispensable when performing
any verification task. This often limits the application of verification techniques, as writing …

Logical reasoning, ie, deductively inferring the truth value of a conclusion from a set of
premises, is an important task for artificial intelligence with wide potential impacts on …

To make robots accessible to a broad audience, it is critical to endow them with the ability to
take universal modes of communication, like commands given in natural language, and …

This is a demonstration of our newly released Python package NL2LTL which leverages the
latest in natural language understanding (NLU) and large language models (LLMs) to …

Text-based games present a unique class of sequential decision making problem in which
agents interact with a partially observable, simulated environment via actions and …

Translating natural language sentences to first-order logic (NL-FOL translation) is a
longstanding challenge in the NLP and formal logic literature. This paper introduces …

Assertion-based verification is a technique to ensure that a circuit design conforms to its
specification and help detect errors early in the design process. It is enabled by powerful …

Mathematics formalisation is the task of writing mathematics (ie, definitions, theorem
statements, proofs) in natural language, as found in books and papers, into a formal …

Although pre-trained language models encode generic knowledge beneficial for planning
and control, they may fail to generate appropriate control policies for domain-specific tasks …