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Multi-Context Systems for Reactive Reasoning in Dynamic Environments
The dataset is used to model reactive multi-context systems for online reasoning in dynamic environments. -
Cyberattack Prediction Through Public Text Analysis and Mini-Theories
Cyberattack Prediction Through Public Text Analysis and Mini-Theories is a dataset used for training machine learning models to predict cyberattacks. -
Markov Logic Networks
Markov Logic Networks (MLNs) are a probabilistic graphical model that can be used for a variety of tasks, including classification, regression, and clustering. -
DeepPSL: End-to-end perception and reasoning
DeepPSL is a variant of probabilistic soft logic (PSL) to produce an end-to-end trainable system that integrates reasoning and perception. -
Modeling Task Interactions in Document-Level Joint Entity and Relation Extrac...
Document-level relation extraction in an end-to-end setting, where the model needs to jointly perform mention extraction, coreference resolution (COREF) and relation extraction... -
Symbolic, Language Agnostic and Ontologically Grounded Large Language Models
The dataset used in the paper to demonstrate the limitations of large language models (LLMs) in capturing inferential aspects of natural language. -
Singapore Rapid Transit Systems Regulations
Singapore Rapid Transit Systems Regulations is a collection of regulations proclaimed by the Singapore government. -
Universal and transferable adversarial attacks on aligned language models
AdvBench is a dataset for evaluating the safety of large language models. -
Social Chemistry 101: Learning to reason about social and moral norms
Social Chemistry 101 is a dataset that encompasses diverse social norms. -
Aligning AI with shared human values
ETHICS is a benchmark for evaluating a language model's knowledge of fundamental ethical concepts. -
Crows-pairs: A challenge dataset for measuring social biases in masked langua...
CrowS-Pairs is a challenge dataset for measuring social biases in masked language models. -
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evalua...
ALI-Agent is an evaluation framework that leverages the autonomous abilities of LLM-powered agents to probe adaptive and long-tail risks in target LLMs. -
Cora and Citeseer datasets
The Cora and Citeseer datasets are used for training machine learning models to classify documents into different categories.
