10 datasets found

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used three mathematics tasks (GSM8K, ASDIV, and SVAMP) and nine general-purpose...

The dataset used in the paper is a combination of Answer Set Programming (ASP) and Partially Observable Markov Decision Processes (POMDPs) for knowledge representation and...

The paper discusses the challenges of using large language models for reasoning tasks.

The TravelPlanner dataset is a benchmark for real-world planning with language agents.

The paper proposes a novel method, REPROMPT, for optimizing the step-by-step instructions in the prompt of LLM agents based on the chat history obtained from interactions with...

The dataset used in the paper for visual commonsense reasoning.

Buffer of Thoughts is a novel and versatile thought-augmented reasoning approach for enhancing accuracy, efficiency and robustness of large language models (LLMs).

NAIVE is a low-level knowledge representation language and inferencing process for reasoning about nondeterministic dynamic systems like those found in medicine.

The Kinship dataset is used for relation discovery and reasoning tasks. Given a set of examples about relations, the model infers the direct relation between two people and...

The DNA promoter dataset consist of a background theory with 14 logical if-then rules. The rules includes four symbols contact, minus10, minus35, conf ormation which are not...