alon-albalak / data-selection-surveyLinks
A Survey on Data Selection for Language Models
☆240Updated 2 months ago
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:
- Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`☆180Updated 7 months ago
- A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..☆256Updated 3 months ago
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆460Updated 8 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆178Updated last year
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning☆164Updated last year
- A Survey of Attributions for Large Language Models☆205Updated 10 months ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆114Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆502Updated 5 months ago
- The Paper List on Data Contamination for Large Language Models Evaluation.☆95Updated 3 months ago
- Must-read Papers on Large Language Model (LLM) Continual Learning☆143Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆127Updated 9 months ago
- LLM hallucination paper list☆318Updated last year
- An Extensible Continual Learning Framework Focused on Language Models (LMs)☆282Updated last year
- A Survey of Hallucination in Large Foundation Models☆54Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 10 months ago
- This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Aji…☆226Updated last year
- open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality☆203Updated 11 months ago
- A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨☆227Updated last year
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆165Updated last month
- Codes for papers on Large Language Models Personalization (LaMP)☆166Updated 4 months ago
- The repo for In-context Autoencoder☆129Updated last year
- ☆171Updated last year
- Direct Preference Optimization from scratch in PyTorch☆101Updated 3 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆114Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆350Updated last year
- The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>☆340Updated last year
- Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models☆99Updated 11 months ago
- Code implementation of synthetic continued pretraining☆117Updated 6 months ago
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆149Updated last month
- [Neurips2024] Source code for xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token☆144Updated last year