Summary of Beyond Llms: Advancing the Landscape Of Complex Reasoning, by Jennifer Chu-carroll et al.
Beyond LLMs: Advancing the Landscape of Complex Reasoning
by Jennifer Chu-Carroll, Andrew Beck, Greg Burnham, David OS Melville, David Nachman, A. Erdem Özcan, David Ferrucci
First submitted to arxiv on: 12 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Large Language Models (LLMs) have been touted as a one-size-fits-all solution for many artificial intelligence (AI) problems. However, they fall short in addressing constraint satisfaction and optimization issues, which are prevalent in real-world scenarios. These challenges currently rely on specialized and expensive solutions. Elemental Cognition’s EC AI platform takes a neuro-symbolic approach to solve these constraints by combining a precise logical reasoning engine with knowledge acquisition and user interaction leveraging LLMs. The platform enables developers to specify application logic in natural language while generating intuitive user interfaces. In three domains, the EC AI systems outperformed LLMs in constructing valid solutions, validating proposed solutions, and repairing invalid ones. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Large Language Models are often thought of as a solution for many AI problems. But they’re not great at solving certain kinds of math problems that are common in real life. These problems require finding the best answer among many possible options. Right now, we don’t have good ways to solve these problems efficiently and affordably. Elemental Cognition’s EC AI platform is different – it uses a special combination of logic and learning from language models to help developers create better solutions for these kinds of problems. |
Keywords
* Artificial intelligence * Optimization