fondoger / scholar_datasetView external linksLinks
百度百科学者词条、知网学者和中文论文元数据开源数据集
☆19Jun 4, 2020Updated 5 years ago
Alternatives and similar repositories for scholar_dataset
Users that are interested in scholar_dataset are comparing it to the libraries listed below
Sorting:
- 术语词典数据集/分词词典/专业词表语料库/词汇知识 库/领域词表下载/主题词表/词库/自然语言处理/数据挖掘/深度学习☆30Mar 4, 2025Updated 11 months ago
- This repository contains 4000 vulnerable hardware designs. Currently this is in Jsonl format for directly using it for fine-tuning LLMs. …☆20Mar 25, 2025Updated 10 months ago
- An Abstractive Summarization(for Datasets in English format) Implementation with Transformer and Pointer-generator☆12Dec 31, 2020Updated 5 years ago
- DocChecker: Bootstrapping Code-Text Pretrained Language Model to Detect Inconsistency Between Code and Comment☆15Jan 23, 2024Updated 2 years ago
- Semantic Scaffolds for Pseudocode-to-Code Generation (accepted by ACL 2020)☆14Jun 7, 2021Updated 4 years ago
- The code implementation of GraCeFul (Accepted in COLING 2025)☆13Jan 27, 2025Updated last year
- 基于中心度的中文关键短语抽取工具☆11Sep 2, 2022Updated 3 years ago
- [COLING25] CodeJudge Eval: Can Large Language Models be Good Judges in Code Understanding?☆12Dec 3, 2024Updated last year
- ☆11Jul 28, 2021Updated 4 years ago
- Offical implementation of our paper "Exploring the Potential of Diffusion Large Language Models in Code Generation".☆20Oct 29, 2025Updated 3 months ago
- Compares two images using Siamese Network (machine learning) trained from a Pytorch Implementation☆10Jul 27, 2021Updated 4 years ago
- TDCleaner: A Tool for Detecting Obsolete TODO Comments in Software Repos☆12Dec 9, 2021Updated 4 years ago
- ☆11May 24, 2020Updated 5 years ago
- RACE is a multi-dimensional benchmark for code generation that focuses on Readability, mAintainability, Correctness, and Efficiency.☆12Oct 12, 2024Updated last year
- Generating Sentences from Disentangled Syntactic and Semantic Spaces☆11Jun 24, 2019Updated 6 years ago
- ☆11Oct 16, 2020Updated 5 years ago
- Final project of 2018 WebDatamining in PKU, Automatic QA system based on Chinese WIKI. (基于中文wiki的自动问答系统)☆11Mar 1, 2019Updated 6 years ago
- The replication package of <Sentiment Analysis for Software Engineering: How Far Can Pre-trained Transformer Models Go?>. Accepted by IC…☆11Nov 29, 2023Updated 2 years ago
- code for Multisample-based Contrastive Loss for Top-k Recommendation (IEEE TMM)☆10Nov 23, 2022Updated 3 years ago
- training BART from scratch☆12Dec 31, 2021Updated 4 years ago
- Learning to Recommend Method Names with Global Context☆13Jan 17, 2022Updated 4 years ago
- Dependency-Based Self-Attention for Transformer NMT☆12Mar 27, 2024Updated last year
- add a Arg: label_smoothing for torch.nn.CrossEntropyLoss()☆14Jan 13, 2021Updated 5 years ago
- [ICLR 2024] Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain☆10Nov 24, 2025Updated 2 months ago
- ☆14Apr 15, 2023Updated 2 years ago
- Sentence VAE using the Transformer encoder-decoder architecture.☆12Nov 30, 2024Updated last year
- 一个用java实现的简单数据库模拟系统。☆16Jan 19, 2018Updated 8 years ago
- A hands-on tutorial on how to use Active Learning with Transformer models.☆15Oct 3, 2021Updated 4 years ago
- Lyra: A Benchmark for Turducken-Style Code Generation☆15Apr 22, 2022Updated 3 years ago
- 基于Pytorch热门深度学习框架 从零开发NLP聊天机器人☆14Sep 13, 2020Updated 5 years ago
- 基于CodeBert预训练模型，微调后/直接对目标数据集进行测试☆14Oct 19, 2021Updated 4 years ago
- This is the project repository of our ASE22 paper: Natural Test Generation for Precise Testing of Question Answering Software☆14Dec 1, 2022Updated 3 years ago
- data and code for paper "CCGIR: Information Retrieval-based Code Comment Generation Method for Smart Contracts", which accepted in KBS. 智…☆17Apr 24, 2022Updated 3 years ago
- Summary of Text Classification in deep learning techniques implemented by PyTorch and TensorFlow. 深度学习文本分类技术总结，以PyTorch实现。☆14Dec 18, 2019Updated 6 years ago
- Improving Machine Translation Systems via Isotopic Replacement☆12Apr 14, 2023Updated 2 years ago
- Backdooring Neural Code Search☆14Sep 8, 2023Updated 2 years ago
- Data and code for "Chain-of-Thought in Neural Code Generation: From and For Lightweight Language Models", which accepted in TSE.☆15Jul 3, 2024Updated last year
- ☆11Jul 5, 2020Updated 5 years ago
- y-trainerY-Trainer 是一个LLM模型微调训练框架。 📊 核心优势： 📉 精准对抗过拟合： 专门优化，有效解决SFT中的过拟合难题。 🧩 突破遗忘瓶颈： 无需依赖通用语料，即可卓越地保留模型的泛化能力，守住核心竞争力的同时实现专项 提升！🏆☆31Dec 25, 2025Updated last month