BABOONS

Author:

Trummer Immanuel1

Affiliation:

1. Cornell University

Abstract

BABOONS (BlAck BOx Optimization of Natural language data Summaries) optimizes text data summaries for an arbitrary, user-defined utility function. Primarily, it targets scenarios in which utility is evaluated via large language models. Users describe their utility function in natural language or provide a model, trained to score text summaries in a specific domain. BABOONS uses reinforcement learning to explore the space of possible descriptions. In each iteration, BABOONS generates summaries and evaluates their utility. To reduce data processing overheads during summary generation, BABOONS uses a proactive processing strategy that dynamically merges current with likely future queries for efficient processing. Also, BABOONS supports scenario-specific sampling and batch processing strategies. These mechanisms allow to scale processing to large data and item sets. The experiments show that BABOONS scales significantly better than baselines. Also, they show that summaries generated by BABOONS receive higher average grades from users in a large survey.

Publisher

Association for Computing Machinery (ACM)

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Reference72 articles.

1. 2021. https://www.upcounsel.com/what-is-a-product-description. 2021. https://www.upcounsel.com/what-is-a-product-description.

2. DIFF: a relational interface for large-scale data explanation

3. Data summarization: a survey

4. Detecting outlying properties of exceptional objects

5. Us vs. them: the minefield of comparative ads;Buchanan B.;Harvard Business Review,1989

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A review of reinforcement learning for natural language processing and applications in healthcare;Journal of the American Medical Informatics Association;2024-08-29

2. Large Language Models: Principles and Practice;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

3. Demonstrating NaturalMiner: Searching Large Data Sets for Abstract Patterns Described in Natural Language;Companion of the 2023 International Conference on Management of Data;2023-06-04

4. From BERT to GPT-3 codex;Proceedings of the VLDB Endowment;2022-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3