QiSun123

QiSun123's Stars

• quqxui/Awesome-LLM4IE-Papers

  Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

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• dongwang881107/njustPhDRoad

  从开题到离校——南京理工大学博士毕业之路

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• QiSun123/GenRDK

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• declare-lab/RelationPrompt

  This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data for the test relation labels.

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• QiSun123/UGDRE

  Code for ACL 2023 paper Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction.

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• cocacola-lab/ChatIE

  The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us. The response speed depends on openai. ( sometimes, the official is too crowded and slow)

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• declare-lab/flacuna

  Flacuna was developed by fine-tuning Vicuna on Flan-mini, a comprehensive instruction collection encompassing various tasks. Vicuna is already an excellent writing assistant, and the intention behind Flacuna was to enhance Vicuna's problem-solving capabilities. To achieve this, we curated a dedicated instruction dataset called Flan-mini.

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• Emrys-Hong/redteaming

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• Emrys-Hong/gpu-stat

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• Emrys-Hong/dotfiles

  Dotfiles optimized for a deep learning researcher including vim and tmux

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• declare-lab/instruct-eval

  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.

  Language:Python51039