Insert-expansions for Tool-enabled Conversational Agents
Type
conference paper
Date Issued
2023-07-04
Author(s)
Abstract
This paper delves into an advanced implementation of Chain-of-Thought-Prompting in Large Lan-
guage Models, focusing on the use of tools (or "plug-ins") within the explicit reasoning paths
generated by this prompting method. We find that tool-enabled conversational agents often become
sidetracked, as additional context from tools like search engines or calculators diverts from original
user intents. To address this, we explore a concept wherein the user becomes the tool, providing
necessary details and refining their requests. Through Conversation Analysis, we characterize this
interaction as insert-expansion — an intermediary conversation designed to facilitate the preferred
response. We explore possibilities arising from this ’user-as-a-tool’ approach in two empirical studies
using direct comparison, and find benefits in the recommendation domain.
guage Models, focusing on the use of tools (or "plug-ins") within the explicit reasoning paths
generated by this prompting method. We find that tool-enabled conversational agents often become
sidetracked, as additional context from tools like search engines or calculators diverts from original
user intents. To address this, we explore a concept wherein the user becomes the tool, providing
necessary details and refining their requests. Through Conversation Analysis, we characterize this
interaction as insert-expansion — an intermediary conversation designed to facilitate the preferred
response. We explore possibilities arising from this ’user-as-a-tool’ approach in two empirical studies
using direct comparison, and find benefits in the recommendation domain.
Language
English
Keywords
Large Language Model
Augmented Language Model
Conversational Agent
Chatbot
Conversation Analysis
HSG Classification
contribution to scientific community
Refereed
Yes
Pages
15
Subject(s)
Division(s)