alon-albalak / data-selection-surveyLinks
A Survey on Data Selection for Language Models
☆233Updated last month
Alternatives and similar repositories for data-selection-survey
Users that are interested in data-selection-survey are comparing it to the libraries listed below
Sorting:
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning☆164Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆174Updated 11 months ago
- A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..☆243Updated 2 months ago
- A Survey of Attributions for Large Language Models☆202Updated 9 months ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆130Updated last year
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆450Updated 7 months ago
- The repo for In-context Autoencoder☆126Updated last year
- Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`☆178Updated 6 months ago
- open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality☆195Updated 10 months ago
- ☆258Updated last year
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆153Updated 8 months ago
- LLM hallucination paper list☆314Updated last year
- Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models☆97Updated 9 months ago
- A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨☆218Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆123Updated 8 months ago
- Function Vectors in Large Language Models (ICLR 2024)☆167Updated last month
- Must-read Papers on Large Language Model (LLM) Continual Learning☆141Updated last year
- Code implementation of synthetic continued pretraining☆110Updated 4 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆489Updated 4 months ago
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆344Updated last year
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆125Updated 2 weeks ago
- contrastive decoding☆200Updated 2 years ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆111Updated 10 months ago
- ☆166Updated 11 months ago
- Direct Preference Optimization from scratch in PyTorch☆92Updated last month
- This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Aji…☆223Updated last year
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆184Updated 2 months ago
- The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>☆340Updated last year
- AI Logging for Interpretability and Explainability🔬☆118Updated 11 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆111Updated 8 months ago