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large language models
The Self-Improvement Paradox: Can Language Models Bootstrap Reasoning Capabilities without External Scaffolding?
Self-improving large language models (LLMs) – i.e., to improve the performance of an LLM by fine-tuning it with synthetic data …
Yutao Sun
,
Mingshuai Chen
,
Tiancheng Zhao
,
Ruochen Xu
,
Zilun Zhang
,
Jianwei Yin
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Horae: A Domain-Agnostic Modeling Language for Automating Multimodal Service Regulation
Artificial intelligence is rapidly encroaching on the field of service regulation. This work presents Horae, a unified specification …
Yutao Sun
,
Mingshuai Chen
,
Tiancheng Zhao
,
Kangjia Zhao
,
He Li
,
Jintao Chen
,
Liqiang Lu
,
Xinkui Zhao
,
Shuiguang Deng
,
Jianwei Yin
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Code
Dataset
Horae: A Domain-Agnostic Modeling Language for Automating Multimodal Service Regulation
Artificial intelligence is rapidly encroaching on the field of service regulation. This work-in-progress article presents the design …
Yutao Sun
,
Mingshuai Chen
,
Kangjia Zhao
,
Jintao Chen
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Cite
DOI
A Privacy Policy Text Compliance Reasoning Framework with Large Language Models for Healthcare Services
The advancement of AI-generated content (AIGC) drives the diversification of healthcare services, resulting in increased private …
Jintao Chen
,
Fan Wang
,
Shengye Pang
,
Mingshuai Chen
,
Meng Xi
,
Tiancheng Zhao
,
Jianwei Yin
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