SMT-Solvers in Action: Encoding and Solving Selected Problems in NP and EXPTIME
PulseAugur coverage of SMT-Solvers in Action: Encoding and Solving Selected Problems in NP and EXPTIME — every cluster mentioning SMT-Solvers in Action: Encoding and Solving Selected Problems in NP and EXPTIME across labs, papers, and developer communities, ranked by signal.
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New framework computes logical explanations for deep neural networks
Researchers have developed a new symbolic framework for computing logical explanations of deep neural network behavior. This method utilizes neuron activations and logical engines like SMT solvers, offering more flexibl…
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LLM-Solver Loops Face Narration Gap, Vulnerable to Adversarial Attacks
Researchers have identified a "narration gap" in Large Language Model (LLM)-solver loops, where the interaction between the LLM and formal solvers can compromise the soundness of the final answer presented to the user. …
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New framework LexGuard enhances trustworthiness of legal AI
Researchers have developed a new evaluation framework called LexGuard to assess the trustworthiness of legal AI systems. This framework focuses on ensuring AI models are sensitive only to legally relevant changes, rathe…