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the resources I use to learn computer science in my spare time
구글에서 발표한 Chain-of-Thought Reasoning without Prompting을 코드로 구현한 레포입니다.
Official repository of Team DSBA for the NICE 2024 Challenge
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training
A collection of architectural patterns leveraging Large Language Models (LLMs) for efficient Text-to-SQL generation.
[ Text Analytics ] 법률 도메인 특화 한국어 기반 LLM 개발
Collection of AWESOME vision-language models for vision tasks
An Extensible Continual Learning Framework Focused on Language Models (LMs)
👨💻 An awesome and curated list of best code-LLM for research.
Awesome-LLM: a curated list of Large Language Model
Korean Multi-task Instruction Tuning
[ICML 2024] Selecting High-Quality Data for Training Language Models
[EMNLP'2024 Findings] Explore generated documents for enhanced IR with LLMs. We enhance BM25 to surpass strong dense retriever on many datasets.
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
A quick guide (especially) for trending instruction finetuning datasets
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
Self-Acceleration of CodeLlama for Code Generation
A efficient and effective few-shot NL2SQL method on GPT-4.
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
대학원 생활을 하며 사용하는 작고 소중한 코딩팁 (linux 명령어 등)
Implementation of the Paper "Goal-Driven Explainable Clustering via Language Descriptions"
A multi-purpose toolkit for table-to-text generation: web interface, Python bindings, CLI commands.
The code for the paper C3: Zero-shot Text-to-SQL with ChatGPT
[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.
Evaluate the accuracy of LLM generated outputs