Summary of Coding Reliable Llm-based Integrated Task and Knowledge Agents with Genieworksheets, by Harshit Joshi et al.
Coding Reliable LLM-based Integrated Task and Knowledge Agents with GenieWorksheets
by Harshit Joshi, Shicheng Liu, James Chen, Robert Weigle, Monica S. Lam
First submitted to arxiv on: 8 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Programming Languages (cs.PL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces Genie, a programmable framework for creating task-oriented conversational agents that can handle complex user interactions and knowledge queries. Unlike existing approaches, Genie provides reliable grounded responses through its expressive specification, Genie Worksheet. The framework is designed to address limitations in handling conditional logic, integrating knowledge sources, and consistently following instructions. Compared to Large Language Models (LLMs), Genie offers controllable agent policies, making it more suitable for complex tasks. Experimental results show that agents built using Genie outperform the state-of-the-art method on the STARV2 dataset by up to 20.5%. Furthermore, a real-user study involving 62 participants demonstrates that Genie beats GPT-4 with function calling baseline by significant margins in execution accuracy, dialogue act accuracy, and goal completion rate on three diverse real-world domains. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper introduces a new way to create computers that can have conversations with humans. These computers are called conversational agents, and they’re designed to help people do complex tasks. The problem is that existing approaches often fail to understand what users want or provide accurate information. To fix this, the researchers created a framework called Genie, which allows them to build more reliable and helpful conversational agents. Genie helps agents make sense of complex instructions, use knowledge from different sources, and respond accurately. In tests, Genie performed better than other methods in completing tasks correctly. |
Keywords
» Artificial intelligence » Gpt
