TnT-LLM: Presenting Prompt Templates

Written by languagemodels | Published 2025/04/22
Tech Story Tags: tnt-llm | large-language-models | text-mining | taxonomy-generation | science-fiction | bing-copilot | label-taxonomies | end-to-end-framework

TLDRIn this section, we present the prompt templates that were used for conversation summarization, label assignment, and taxonomy generation, updation, and review.via the TL;DR App

Table of Links

Abstract and 1 Introduction

2 Related Work

3 Method and 3.1 Phase 1: Taxonomy Generation

3.2 Phase 2: LLM-Augmented Text Classification

4 Evaluation Suite and 4.1 Phase 1 Evaluation Strategies

4.2 Phase 2 Evaluation Strategies

5 Experiments and 5.1 Data

5.2 Taxonomy Generation

5.3 LLM-Augmented Text Classification

5.4 Summary of Findings and Suggestions

6 Discussion and Future Work, and References

A. Taxonomies

B. Additional Results

C. Implementation Details

D. Prompt Templates

D PROMPT TEMPLATES

In this section, we present the prompt templates that were used for conversation summarization (Figure 8), label assignment (Figure 9), and taxonomy generation (Figure 10a), updation (Figure 10b) and review (Figure 10c).

Figure 10: Label taxonomy generation, update and review prompts (Stage 2 in Phase 1).

This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license.

Authors:

(1) Mengting Wan, Microsoft Corporation and Microsoft Corporation;

(2) Tara Safavi (Corresponding authors), Microsoft Corporation;

(3) Sujay Kumar Jauhar, Microsoft Corporation;

(4) Yujin Kim, Microsoft Corporation;

(5) Scott Counts, Microsoft Corporation;

(6) Jennifer Neville, Microsoft Corporation;

(7) Siddharth Suri, Microsoft Corporation;

(8) Chirag Shah, University of Washington and Work done while working at Microsoft;

(9) Ryen W. White, Microsoft Corporation;

(10) Longqi Yang, Microsoft Corporation;

(11) Reid Andersen, Microsoft Corporation;

(12) Georg Buscher, Microsoft Corporation;

(13) Dhruv Joshi, Microsoft Corporation;

(14) Nagu Rangan, Microsoft Corporation.


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