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furrier    音标拼音: [f'ɚiɚ]
n. 毛皮商,毛皮衣制作工

毛皮商,毛皮衣制作工

furrier
n 1: someone whose occupation is making or repairing fur
garments [synonym: {cloakmaker}, {furrier}]

Furrier \Fur"ri*er\, n. [Cf. F. fourreur.]
A dealer in furs; one who makes or sells fur goods.
[1913 Webster]

45 Moby Thesaurus words for "furrier":
baker, bookdealer, bookseller, busheler, bushelman, butcher,
chandler, clothier, clothing merchant, confectioner, costumer,
costumier, draper, dry goods dealer, drysalter, fishmonger,
fishwife, fitter, florist, footwear merchant, fruiterer, furnisher,
glover, greengrocer, grocer, groceryman, haberdasher, hardwareman,
hosier, ironmonger, jeweler, liquor merchant, mercer, newsdealer,
perfumer, poulterer, saddler, sartor, stationer, tailleur, tailor,
tailoress, tobacconist, vintner, wine merchant

Krschner (m)



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    Following recursive thinking, RTQA recursively decomposes questions into sub-problems, solves them bottom-up using LLMs and TKG knowledge, and employs multi-path answer aggregation to improve fault tolerance
  • zjukg RTQA: [Paper] [EMNLP 2025] RTQA - GitHub
    This repository contains the code and resources for the RTQA framework, as described in the paper: RTQA: Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models
  • Self-Improvement Programming for Temporal Knowledge Graph Question . . .
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  • RTQA : Recursive Thinking for Complex Temporal . . .
    RTQA is a training-free framework that enhances large language models' reasoning capabilities for complex temporal question answering by recursively decomposing questions into manageable sub-questions and employing multi-path answer aggregation to improve accuracy and fault tolerance
  • RTQA:递归思维在复杂时间知识图问答中的应用 - 问答 - Glarity
    RTQA(Recursive Thinking for Complex Temporal Knowledge Graph Question Answering)是一种新兴的框架,旨在提高大型语言模型(LLMs)在处理复杂时间知识图(TKG)问题时的表现。 该框架通过递归思维的方法,将复杂问题分解为更小的子问题,然后逐步解
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    Radiation Therapy Quality Assurance (RTQA) procedures at EORTC are structured to cover these sources as widely as possible and are tailored to suit each trial’s needs to achieve quality efficiently
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    为解决上述挑战,提出了一个全新的、无需训练的推理框架 —— RTQA(Recursive Thinking Temporal Knowledge Graph Question Answering)。 RTQA 以“递归思维(Recursive Thinking)”为核心理念,模仿人类解决复杂问题的方式: 将复杂问题分解为若干子问题,自底向上逐步





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