Search Results for author: Jennifer Chu-Carroll

Found 5 papers, 2 papers with code

GLUCOSE: GeneraLized and COntextualized Story Explanations

2 code implementations EMNLP 2020 Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, David Buchanan, Lauren Berkowitz, Or Biran, Jennifer Chu-Carroll

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.

Beyond LLMs: Advancing the Landscape of Complex Reasoning

no code implementations12 Feb 2024 Jennifer Chu-Carroll, Andrew Beck, Greg Burnham, David OS Melville, David Nachman, A. Erdem Özcan, David Ferrucci

Since the advent of Large Language Models a few years ago, they have often been considered the de facto solution for many AI problems.

Logical Reasoning valid

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