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Found 6 papers, 2 papers with code
LLM-ARC: Enhancing LLMs with an Automated Reasoning Critic
We introduce LLM-ARC, a neuro-symbolic framework designed to enhance the logical reasoning capabilities of Large Language Models (LLMs), by combining them with an Automated Reasoning Critic (ARC).
Beyond LLMs: Advancing the Landscape of Complex Reasoning
Since the advent of Large Language Models a few years ago, they have often been considered the de facto solution for many AI problems.
Open-Domain Frame Semantic Parsing Using Transformers
Frame semantic parsing is a complex problem which includes multiple underlying subtasks.
GLUCOSE: GeneraLized and COntextualized Story Explanations
As a step toward AI systems that can build similar mental models, we introduce GLUCOSE, a large-scale dataset of implicit commonsense causal knowledge, encoded as causal mini-theories about the world, each grounded in a narrative context.
To Test Machine Comprehension, Start by Defining Comprehension
Many tasks aim to measure machine reading comprehension (MRC), often focusing on question types presumed to be difficult.
