PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
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Updated
Sep 10, 2025 - Python
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
Learning Named Entity Tagger from Domain-Specific Dictionary
Voila is a domain-specific language launched through CLI tool for operating with files and directories in massive amounts in a fast & reliable way.
Code for DELSumm, an unsupervised summarization algorithm for legal case judgements.
CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model
Implementation of TSDS: Data Selection for Task-Specific Model Finetuning. An optimal-transport framework for selecting domain-specific and task-specific training data to improve LLM finetuning and instruction tuning.
Repository for the paper "Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays"
This is an embedding of the Sparse Synchronous Model, in Haskell!
📶 NetBERT: a domain-specific BERT model for computer networking.
This is the implementation of AFSC focused website segment crawler. It is capable for finding web pages that are related to a specific topic and also written in a specific language. For more details, please refer to http://ieeexplore.ieee.org/abstract/document/7789756/
A Domain Specific Language for the Structured Query Language (SQL) embedded in Java
A Python Tool for Selecting Domain-Specific (Contextually Similar Data) for Machine Translation
Domain specific custom entity extraction
[EMNLP'24] This repo is official implementation for the paper "Unsupervised Named Entity Disambiguation for Low Resource Domains"
A fine-tuned tool for de-identifying italian documents and diaries from substance abuse therapy facilities.
Sparky is an interactive assistant designed to help users identify and understand various hardware and electronic components.
Comprehensive benchmarking framework for evaluating 13+ embedding models on multi-turn conversational retrieval with advanced metrics, automated visualizations, and flexible data pipeline supporting multiple formats
Dhaad (ضَاد) is the world's first **adaptive programming language** that intelligently orchestrates execution while preserving semantic intent. Named after the distinctive Arabic letter "Ḍād" that defines linguistic depth, Dhaad transforms programming from static computation to **dynamic, context-aware outcome commanding** across all computational
A collection of easily digestible introductions to foundational and state-of-the-art LLM domains
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